Array Definition In Data Structure Jobs in Usa
55,298 positions found — Page 2
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 30% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 30% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Job Family: Mechanical Design Engineering
Organization: Data Center Infrastructure Team
Location: Remote* OR Austin, TX
*Requires up to 20% domestic and/or international travel (rare)
How will you make an impact?
We are seeking a highly skilled, technically proficient and detail-oriented Principal Mechanical Engineer with expertise in metal structures, frame design, pipes and fabrication to support the development of power and cooling infrastructure for data centers. This role is critical in designing robust mechanical systems that house and support electrical and thermal management equipment, ensuring structural integrity, manufacturability, and compliance with industry standards.
What will you do?
- Experience designing and integrating hydronic systems including pumps, piping networks, valves, and heat exchangers for data center cooling applications.
- Knowledge of fluid dynamics, pressure drop calculations, and pipe sizing for chilled water and glycol-based systems.
- Understanding of installation constraints, maintenance access, and serviceability in large-scale mechanical infrastructure.
- Design and develop mechanical frames, enclosures, and support structures for data center power and cooling products (UPS systems, battery racks, CRAC units, containment systems, LVS, MVS).
- Perform advanced structural analysis using FEA tools to validate mechanical integrity under static, dynamic, seismic, and thermal loads.
- Analyze load paths, stress concentrations, and fatigue life of structural components to ensure long-term reliability.
- Design metal enclosures with considerations for airflow, thermal containment, EMI shielding, and environmental protection.
- Evaluate and implement new materials, coatings, and fabrication technologies to enhance product performance and reliability.
- Participate in customer engagements and site visits to understand deployment constraints and gather feedback for design improvements.
- Create detailed CAD models and fabrication drawings, including weldments, sheet metal, and machined parts
- Select appropriate materials and fabrication methods to optimize cost, performance, and reliability
- Collaborate with electrical, thermal, and systems engineering teams to integrate mechanical designs with functional components.
- Lead mechanical design reviews and contribute to cross-functional design validation efforts.
- Develop and maintain design documentation including BOMs, specifications, test plans, and engineering change orders (ECOs).
- Drive continuous improvement in mechanical design for manufacturability (DFM), cost reduction, and performance optimization.
- Interface with suppliers and customers to resolve fabrication issues and ensure quality standards are met.
- Support lifecycle management of mechanical components, including obsolescence planning and alternate sourcing.
- Conduct root cause analysis and corrective actions for mechanical failures or field issues.
- Ensure mechanical designs support airflow management, thermal containment, and integration with cooling systems (in-row cooling, rear door heat exchangers).
- Collaborate with compliance and certification teams to ensure mechanical designs meet global regulatory requirements (UL, CE, RoHS, REACH)
- May perform other duties and responsibilities as assigned
How will you get here?
Education:
- Bachelor’s Degree in Mechanical Engineering or related engineering discipline.
Experience:
- 8+ years of experience in mechanical design and fabrication, preferably in data center, industrial, or power systems environment.
- Proficiency in CAD tools (SolidWorks, Creo, Inventor) and FEA software (ANSYS, Abaqus).
- Strong knowledge of metal fabrication processes including welding, sheet metal forming, and machining is a must
- Experience with structural design for heavy equipment or large assemblies, and familiarity with thermal and airflow considerations in enclosure design is required
- Excellent communication and cross-functional collaboration skills
Knowledge, Skills, Abilities:
- Excellent interpersonal and communication skills
- Creative, self-motivated, accountable, and team-oriented
- Able to work independently with minimal oversight
- Proficient in reading, analyzing, and interpreting general business publications, professional journals, technical procedures, and government regulations
- Skilled in writing reports, business correspondence, and procedural guides
- Effective at presenting information and responding to management, clients, and public queries
- Capable of influencing others and sharing best practices
- Comfortable working as part of a global team
- Capable of assessing projects, articulating risks, and developing project milestones
- Familiar with stage-gate processes in project lifecycle management (PLCM)
- Able to mentor less experienced engineers
- Ability to travel both domestically and internationally up to 30%
Preferred Qualifications:
- Master’s Degree in Mechanical Engineering
- Experience designing mechanical systems for data centers, telecom, or industrial power/cooling products.
- Active Professional Engineer (PE) license.
- Knowledge of regulatory and safety standards applicable to data center infrastructure.
- Hands-on experience with prototype fabrication and testing; Experience working with global suppliers and contract manufacturers a plus
Remote working/work at home options are available for this role.
Senior Data Modeler
Hybrid 3-4 days onsite
Location: Phoenix, Arizona
Salary: $130,000 - $150,000 base
A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.
This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.
What You’ll Be Working On
- Designing and implementing enterprise data models across conceptual, logical, and physical layers
- Establishing Medallion architecture patterns and reusable modeling assets
- Building dimensional and semantic models that support analytics and reporting
- Partnering closely with domain experts and functional leaders to translate business needs into data structures
- Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
- Helping define modeling standards and upskilling senior engineers in modern data modeling practices
- Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
- Proactively identifying analytics opportunities and recommending data structures to support them
This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.
Must-Have Experience
- Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
- Deep understanding of Medallion architecture
- Advanced SQL and experience working with a modern cloud data warehouse
- Experience with dbt for transformations and modeling
- Hands-on experience in cloud-native data environments (AWS preferred)
- Ability to work directly with business stakeholders and explain technical concepts clearly
- Experience collaborating closely with data engineers on execution
Nice to Have
- Python experience
- Familiarity with Informatica or reverse-engineering legacy data models
- Exposure to streaming or near-real-time data pipelines
- Experience with visualization tools (tool choice is flexible)
Who Will Thrive in This Role
- A senior individual contributor who enjoys building from scratch
- Someone who can act as a modeling expert and mentor in an organization formalizing this practice
- Comfortable working in ambiguity and taking initiative
- Strong communicator who enjoys partnering with both technical and non-technical teams
- Equally comfortable discussing business concepts and physical data models
Why This Role Is Unique
- Greenfield data modeling initiative with real influence
- Opportunity to define standards that will be used across the organization
- Work on large-scale, real-world operational and analytical data
- High visibility within a growing data organization
- Flexible work setup for individual contributors
If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.
Job Title: Health Data Services Strategy and Data Architect Manager
Location: San Francisco Bay Area
Work Mode: Hybrid Model – Onsite as Needed, at least 3-6 days a month
Duration: 3 months
Only Local candidates
Qualification:
• Healthcare analytics principles and performance measurement frameworks.
• Electronic Health Record systems and healthcare data structures.
• Data warehousing concepts and EPIC HB, PB, and Retail Pharmacy architecture necessary for internal and external reporting.
• Healthcare quality metrics and regulatory reporting requirements.
• Data governance principles and healthcare privacy regulations.
• Supervisory principles and budget preparation.
Knowledge, Skills, & Abilities
• Organize and evaluate healthcare analytics programs.
• Supervise and mentor professional and technical staff.
• Translate complex data into actionable insights.
• Balance competing priorities while maintaining alignment with organizational strategy.
• Facilitate collaborative decision-making and governance processes.
• Interpret and apply healthcare regulations within system configuration and documentation standards.
• Communicate effectively with executive and operational stakeholders.
• Prepare reports, policy recommendations, and budget justifications.
• Identify risks, propose solutions, and drive resolution of system or operational issues.
• Build and maintain effective working relationships across diverse service lines and departments.
Education:
• Any combination of education and experience that would likely provide the required knowledge, skills, and abilities is qualifying.
• A Bachelor’s degree in public health, healthcare administration, data science, statistics, information systems, business administration, or related field; AND o Seven years of progressively responsible experience in healthcare analytics, healthcare IT, digital health, or performance reporting; INCLUDING o Three years of supervisory or leadership experience overseeing analysts or technical staff.
Duration-: 10+ Months
Location: Remote
Overview
An experienced Solution Architect to lead the enterprise rollout of Microsoft Purview across a complex global, multi cloud environment. The consultant will define architecture, implement domain?based governance, and drive adoption of Purview capabilities including cataloging, lineage, classification, access governance, and compliance controls.
Key Responsibilities
- Architecture & Implementation
- Define target?state architecture for Microsoft Purview across Azure, AWS, M365, on prem, and third party platforms.
- Develop and drive the implementation roadmap across U.S. Businesses, PGIM, Corporate Technology, and international units.
- Establish Purview reference architecture, integration patterns, and guardrails.
- Domain Based Governance
- Design collections, hierarchies, and RBAC aligned to domain structures and legal entity boundaries.
- Enable domain owned stewardship while enforcing enterprise taxonomies and governance standards.
- Platform Configuration
- Configure Data Map, Catalog, Scans, Classifications, Sensitivity Labels, and Lineage.
- Optimize scan strategy (frequency, cost, performance) and extend classifiers and metadata models.
- Security & Compliance
- Integrate Purview with M365 Information Protection, Entra ID, and security baselines.
- Support PII/PCI/PHI detection, access governance, and regulatory compliance (SOX, GLBA, NYDFS, GDPR).
- Engineering & Integration
- Integrate with Synapse, Fabric, Databricks (including Unity Catalog), Snowflake, SQL Server, AWS sources, and SAP/Oracle.
- Implement IaC (Bicep/Terraform), CI/CD for Purview artifacts, and automation via APIs.
- Adoption & Stakeholder Management
- Deliver training, onboarding playbooks, and steward enablement.
- Lead workshops for new data domains and products.
- Provide executive level reporting on progress, risks, and KPIs.
Required Qualifications
- 10+ years in data architecture/governance; 2+ years hands on Purview experience at enterprise scale.
- Strong expertise in metadata management, lineage, classification, scan optimization, glossary management and domain based operating models.
- Solid Azure ecosystem knowledge (Storage, Key Vault, Synapse, Fabric, Databricks), M365 Information Protection, and Entra ID.
- Experience with IaC (Bicep/Terraform), APIs/Atlas, and scripting (PowerShell/Python).
- Financial services or regulated industry exposure.
- Excellent communication, stakeholder leadership, and cross domain facilitation skills.
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
- Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
- Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
- Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
- Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
- Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
- Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
- Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
- Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
- Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
- Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
Required Skills & Qualifications
- 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
- Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
- Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
- Excellent communication and presentation skills, with experience translating technical concepts for business partners.
- Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
- Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
- Strong collaboration and stakeholder management skills across engineering, product, and business teams.
- Comfortable working in fast?moving environments and driving clarity through ambiguity.
Preferred Qualifications
- Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
- Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
- Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
- Background in solution architecture, customer engineering, or sales engineering.
- Experience developing demo environments, sample apps, or repeatable platform enablement assets.
- Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*
Summary
As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.
This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.
You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.
Responsibilities include but are not limited to:
AI Solution Development & Deployment
Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.
Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).
Operational Model Support & Optimization
Monitor model performance, data drift, and operational KPIs.
Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.
Establish measurement frameworks to quantify operational impact of deployed solutions.
Data Engineering & Analytical Execution
Transform structured, semi-structured, and unstructured data into actionable features and insights.
Perform exploratory analysis and visualization to identify operational improvement opportunities.
Collaborate with engineering teams to productionize data solutions.
Stakeholder Engagement & Explainability
Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.
Communicate complex AI methodologies and results clearly to technical and non-technical audiences.
Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.
Required Qualifications
Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.
Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.
Experience building operationalized data science solutions (not just prototypes).
Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.
Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.
Strong ethical judgment with a commitment to responsible and unbiased AI development.
Preferred Qualifications
2+ years of hands-on experience in data science, applied AI, or machine learning.
Experience supporting AI solutions in operational or production environments.
Familiarity with MLOps practices, model governance frameworks, and automation tooling.
Experience working in regulated industries (financial services preferred).
#LI-hybrid **This position will be in a hybrid working arrangement.**
Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.
The estimated base pay range for this job is:
$72,000.00 - $134,000.00Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.
Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:
Paid time off:
We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.
Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.
Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:
Mental Wellness and Disability
Pride at Securian Financial
Securian Young Professionals Network
Securian Multicultural Network
Securian Women and Allies Network
Servicemember Associate Resource Group
For more information regarding Securian's benefits, please review our Benefits page.
This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.
Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).
To view our privacy statement click here
To view our legal statement click here
Remote working/work at home options are available for this role.
Our Ideal Candidate
We are looking for a Senior Data Engineer who is a self-starter and detail-oriented with a strong blend of technical expertise and business acumen. The ideal candidate has a strong foundation in data engineering, experience working with healthcare data, and the ability to build scalable data-driven solutions. You are a proactive problem-solver who takes ownership of your work, continuously seeks to improve data quality and accessibility, and is committed to delivering high-quality data solutions.
Responsibilities
- Lead data modeling efforts to create optimized data structures for reporting and analytical purposes.
- Design, develop, and maintain end-to-end data pipelines that transform raw source data into high-quality, actionable datasets.
- Build the company's data infrastructure and data catalog, from data ingestion through the semantic layer, ensuring a robust, scalable architecture on AWS.
- Collaborate with cross-functional teams (product, technology, operations, etc.) to understand data needs, align them with business goals, and translate them into technical solutions.
Qualifications
- Bachelor's or Master's (preferred) degree in Computer Science, Engineering, or a related quantitative field (Data Science).
- 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a strong focus on the development of end-to-end data solutions and products.
- 5+ years of hands-on experience with AWS cloud technologies is required, including designing, building, and maintaining cloud-based data infrastructure and infrastructure as a Code (IaC), such as CDK or Terraform.
- Proficiency in building and managing data infrastructure and ETL pipelines within AWS, leveraging services like AWS Glue, Athena, Redshift, Aurora, RDS, DynamoDB, EMR, Lambda, IAM, S3, EC2, CLI.
- Demonstrated experience in designing and implementing robust data models for analytical purposes.
- Strong proficiency in SQL and experience with various database systems (e.g., MySQL, NoSQL, Snowflake, Vector Databases).
- Strong proficiency in Python for data engineering and analytics, and extensive experience with data pipeline development and orchestration tools (e.g., Airflow, dbt).
- Experience with Power BI or Tableau for data reporting and dashboard development.
- Experience shipping data products to production and understanding software development lifecycle best practices.
- Strong problem-solving skills, the ability to work independently, and good communication and collaboration skills.
- Ability to learn new technologies and adapt to a fast-paced environment.
- Awareness of HIPAA, PHI, and other healthcare-specific regulations related to data and AI.
POSITION SUMMARY: In this role, you will ensure accurate cost estimation for metal fabrication and manufacturing projects. This role involves evaluating project requirements, analyzing specifications, sourcing material costs, and collaborating with various departments to ensure that estimates align with the company’s financial goals and the scope of work. The Estimator will be responsible for preparing bids, cost analyses, and supporting project teams with cost-related inquiries throughout the project lifecycle.
ESSENTIAL DUTIESAND RESPONSIBILITIES:
- Cost Estimation: Develop accurate cost estimates for steel fabrication, manufacturing, and installation projects by assessing material quantities, labor costs, equipment needs, and other project-specific requirements.
- Project Analysis: Review blueprints, project plans, specifications, and other relevant documents to determine project scope, requirements, and potential challenges.
- Material Sourcing: Identify and source the appropriate materials for each project, considering cost, quality, and delivery schedules.
- Collaboration: Work closely with project managers, engineers, procurement teams, and contractors to ensure accurate costs and maintain effective communication throughout the project.
- Bid Preparation: Prepare competitive bids for tender submissions by gathering all necessary cost data and ensuring adherence to client specifications and project timelines.
- Risk Assessment: Evaluate potential risks and contingencies that could impact the project’s budget and schedule and incorporate these into the final estimate.
- Data Management: Maintain accurate records of estimates, revisions, and project data for future reference and audits.
- Client Relations: Participate in meetings with clients to explain estimates, adjustments, and clarify any questions regarding the cost of the project.
QUALIFICATIONS: Must be able to perform each essential duty daily.
- Bachelor’s degree in construction management, Engineering, Business, or a related field (preferred). Experience in estimating structural/miscellaneous metals can be substituted.
- Minimum of 5 years’ experience in structural steel takeoffs and bid proposals.
- Apply manufacturing standards to determine shop and installation hours.
- Full-time, office based, occasional job site visits.
- Strong knowledge of materials, fabrication techniques, and industry standards.
- Proficiency in estimation software, i.e. Bluebeam, Tekla, Excel and Microsoft Office Suite.
- Ability to read and interpret blueprints, drawings, and project specifications.
- Ability to analyze complex project data and propose solutions to cost challenges.
- Capable of managing multiple estimates simultaneously while meeting deadlines.
- Works well with a cross-functional team, providing valuable input to ensure project success.
PHYSICAL DEMANDS: Must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions on a case-by-case basis in conjunction with the official Company doctor and clinic.
- Ability to sit for extended periods of time while working at a desk or computer, with regular use of hands and fingers for typing, using a computer mouse, and handling documents.
- Occasional lifting and moving files, supplies, or materials typically up to 40 pounds.
WORK ENVIRONMENT:
- Primarily works in a standard office environment with minimal exposure to temperature changes.
- Job site visits as needed will include outdoor environments and/or work from site trailers. Outdoor temperatures are unregulated, meaning depending on the season and location temperatures could be hot or cold in the immediate areas where work assignments must occur.
- Shop visits as needed will include industrial manufacturing environments with heavy machinery, forklifts and overhead cranes.
- Required to wear Personal Protective Equipment (PPE) such head protection, eye protection, and steel-toed footwear in designated areas.
EEO:
SME Industries, Inc. is an Equal Opportunity (EEO) Employer. All qualified applicants will receive consideration without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, status as a protected veteran, status as an individual with disability, or any other protected group status or non-job-related characteristic as directed by law.
Data Scientist Everfit | Hybrid, San Francisco Bay Area
About Everfit
Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.
About the Role
We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.
What You'll Do
Product Analytics & User Insights
- Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
- Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
- Identify opportunities to improve onboarding, engagement, and coach–client interactions.
Experimentation & A/B Testing
- Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.
Strategic Impact & Roadmapping
- Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
- Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
- Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.
Technical Foundations
- Partner with data engineering to improve pipelines and instrumentation.
- Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.
Marketing Analytics & Optimization
- Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
- Partner with marketing and growth teams to design and evaluate campaign experiments
What We're Looking For
- 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
- Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
- Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
- Understanding of SaaS metrics and cohort analysis
- Experience with translating numerical findings into clear insights for non-technical team members
- Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)
Bonus Points:
- Experience with Python or R for statistical analysis
- Experience in a PLG (Product-Led Growth) environment
- Experience working at a company during a hypergrowth phase
- Background in fitness, health, wellness, or coaching industries
You'll thrive here if you:
- Are naturally curious and love asking "why" until you find the answer
- Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
- Enjoy collaborating with global teams and making complex topics understandable
- Are comfortable with ambiguity and can structure your own work
- Care deeply about the impact your insights have on real coaches and their clients
Why Join Everfit
- Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
- Work with autonomy and ownership on high-impact projects
- Join a collaborative, global team with experience from leading tech and fitness companies
- Enjoy competitive salary, equity, and performance bonuses
- Build something meaningful that helps people live better, healthier lives
Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.
Ready to dive into data in the fitness intelligence space? We'd love to hear from you.
The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.
Responsibilities:
Data Analysis & Business Insights
* Conduct in-depth data analysis to support strategic business initiatives.
* Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities.
* Respond to data discovery requests and operational reports development to support key business metrics and decision-making.
* Deploy best practices and make recommendations for improved understanding.
* Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders.
Enterprise Reporting & BI Dashboard Development
* Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions.
* Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights.
* Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights.
* Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities.
* Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights.
Data Quality Support & Validation
* Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards.
* Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users.
* Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools.
* Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.
Requirements:
* 3+ years of experience in data, analytics, or business intelligence.
* Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field.
* Proficient in SQL for data extraction and manipulation across various data sources.
* Strong analytical skills to interpret complex datasets and draw actionable insights.
* Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development.
* Familiar with advanced Excel functions for data manipulation and reporting.
* Understanding of statistical methods and trend analysis for identifying patterns and creating projections.
* Familiar with predictive modeling or basic machine learning concepts is a plus.
* Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus.
* Basic understanding of data integration, ETL processes, and data warehousing concepts.
* Skilled in presenting data in a way that tells a compelling story and drives informed decision-making.
* Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT.
* High level of precision in data analysis, ensuring reports and insights are accurate and free of errors.
* Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions.
* Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision.
* Strong organizational skills to balance multiple projects and meet reporting deadlines.
* Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment.
* Open and motivated to learn new tools, methods, and data practices.
Company Description
Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
Better together:We check our egos at the door. We work together, so we win together.
We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making.
Duties & Responsibilities:
- Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations.
- Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drivedata quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence tosecurity, compliance, and data privacystandards.
- Mentor junior engineers and contribute to establishingengineering best practices.
- SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such asPower BI.
- Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends.
Technical Skills:
- Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL).
- Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years).
- Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus.
- Strong understanding ofdata modeling,data governance, andmetadata management.
- Knowledge ofsource control (Git),CI/CD, and modern DevOps practices.
- Familiarity withPower BIvisualization tool.
Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or related field.
- 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure).
- Experience buildingreal-time data pipelinesand streaming frameworks.
- Strong analytical and problem-solving skills.
- Proven ability tolead projectsand mentor engineers.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Exposure tomachine learning integrationwithin data engineering pipelines.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
Sr. Data Engineer (Hybrid)
Chicago, IL
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.
We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.
As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.
RESPONSIBILITIES:
Data Engineering & AI Enablement
- Build and maintain scalable data pipelines and
ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
cases. - Implement best practice patterns for ingestion,
transformation, modeling, and orchestration within a modern lakehouse
environment (e.g., Databricks, Delta Lake, Azure Data Lake). - Develop highperformance
data models and curated datasets with strong attention to quality, usability,
and interoperability; create reusable engineering components and automation. - Collaborate with the Architecture Team, the Data
Platform Lead, and federated IT teams to optimize storage, compute, and
architectural patterns for performance and costefficiency. - Build model-ready data sets and feature
pipelines to support AI/ ML use cases; serve as a technical coordination point
supporting business units' AI-related infrastructure needs. - Collaborate with data scientists and AI Working
Group to operationalize models responsibly and maintain ongoing monitoring
signals.
Governance, Quality & Compliance
- Embed data governance, metadata standards,
lineage tracking, and quality controls directly into engineering workflows;
ensure technical implementation and alignment within engineering workflows. - Work with the Data Governance Lead and business
stakeholders to operationalize stewardship, classification, validation,
retention, and access standards. - Implement privacybydesign and securitybydesign
principles, ensuring compliance with internal policies and regulatory
obligations. - Maintain documentation for pipelines, datasets,
and transformations to support transparency and audit requirements.
Platform Reliability, Observability & Optimization
- Monitor and troubleshoot pipeline failures,
performance bottlenecks, data anomalies, and platformlevel issues. - Implement observability tooling, alerts,
logging, and dashboards to ensure endtoend reliability. - Support cost governance by optimizing compute
resources, refining job schedules, and advising on efficient architecture. - Collaborate with the Data Platform Lead on
scaling, configuration management, CI/CD pipelines, and environment management. - Collaborate with business units to understand
data needs, translate them into engineering requirements, and deliver
fit-for-purpose data solutions; share and apply best practices and emerging
technologies within assigned initiatives. - Work with IT Security and Legal/ Compliance to
ensure platform and datasets meet risk and regulatory standards.
Staff Management
- Lead, mentor, and provide management oversight
for staff. - Responsible for setting objectives, evaluating
employee performance, and fostering a collaborative team environment. - Responsible for developing staff knowledge and
skills to support career development.
May include other responsibilities as assigned
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - Experience with infrastructureascode
(Terraform, CloudFormation) or DevOps tooling.
The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION
Apply NowShare Save JobRemote working/work at home options are available for this role.
Job Title: Distribution and Marketing Data Product Manager
Division: Beazley Shared Services - Data Management
Location: Multiple Locations, US
Hybrid Role
Reports To: Head of Data Products
Key Relationships: Chief Data Office, Data Leadership Team, Data Owners, Distribution and Marketing, CRM, Data Governance and Quality, Data Stewards, Data Architects, Delivery Team members, Technology Team, Finance, Underwriting, Operations and other Business Stakeholders
Beazley:
Beazley is a global specialist insurance company with over 30 years' experience helping people,
communities, and businesses to manage risk all around the world. Our products are wide ranging from cyber & tech to marine, healthcare, financial institutions, and contingency, covering risks like the weather, film production or protection from deadly weapons.
We are a flexible and innovative employer offering a friendly, collaborative, diverse and inclusive work environment. We encourage applications from all backgrounds. Collaboration in office spaces is important and we use a hybrid approach with a minimum of 2 days in the office per week.
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 1500 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We hire people with wide perspectives, and we have set bold diversity targets as we work towards excellence.
Data @ Beazley:
Our Data team supports Beazley's vision by...
* Being bold through pioneering & championing an exciting vision of how people interact with data
* Facilitating innovation by leading the pace of change in data & analytics, and facilitating the latest capabilities and innovative technologies
* Doing the right thing by providing a controlled working data environment that allows all business domains to thrive independently
* Being the single source of truth for enterprise-wide reporting metrics and KPIs
Our Data team is located at multiple offices across UK, Europe and the US. The specified home office location options provide the best balance for being co-located with key Data Office colleagues and business stakeholders.
The Role:
Data is one of Beazley's greatest assets and this roles is critical to supporting our Distribution and Marketing insights, which includes Customer, Broker and Marketing data. We're seeking a strategic and technically savvy Data Product Manager to lead the strategy, development and evolution of data products and insights that empower our distribution and marketing teams. This role is critical to aligning our data, unlocking insights, and informing growth opportunities across our specialty portfolio. In this role, you will also work to mature data literacy and capabilities as Beazley undertakes a significant investment in modernization, enabling you to embed a culture of data excellence and innovation in our delivery.
Key Responsibilities:
Partner with the global Distribution and Marketing team to understand, prioritize and develop data products and insights that support their business strategy.
Build and own a roadmap to provide regular updates on delivery commitments for data products, insights, enhancements and queries.
Manage stakeholder relationships to support the growth strategy for Beazley customers, brokers, teams and products.
Produce insights and key data trendsthat highlight business performance, RoI, efficiencies and game-changing growth opportunities.
Inspire the adoption and use of insights to drive decisions in investment and operations that improve efficiency and drive growth by leading demonstrations and hands on training sessions.
Lead a team of Product Owners, Product Analysts, Business Analysts and a development team to deliver and maintain data products and insights; maintaining a backlog of work within Jira.
Represent the business in data governance discussions, escalating issues as appropriate.
Ensure that data product development considers policy, methodology and standards, and ensure these are adhered to during product development.
Evaluate the performance of your data product portfolio against KPIs defined by the business and provide feedback on the value delivered.
Proactively anticipate business needs and look for opportunities to bring innovation or new approaches into the user design, experience, product development and insights.
Relentlessly focus on the Distribution and Marketing team as a customer, delivering high quality data and insights that are clear and inspire action.
Partner with the Data Governance Group and CRM solution team (Customer Relationship Management) to drive improvements in our Customer and Broker data quality through MDM and other tools.
Provide leadership, direction, development and support to direct reports (including off-shore resources).
Essential Criteria:
Bachelor's degree in Business, Marketing, Data Science, Computer Science, Economics, Statistics or related field; Master's degree preferred
Proven experience in data product management, marketing analytics or distribution strategy, preferably in insurance or financial services
Experience working with data, building data models, and sharing insights
Skills and Abilities:
Strategic and curious with the ability to design and develop data and insights that support our Distribution and Marketing team's goals, planning, performance and incentives that drive growth
Understand the specialty insurance market, customer segmentation and distribution channels, with experience in North America, Lloyd's, Retail and Wholesale markets preferred
Ability to lead workshops that help your stakeholders identify data needs and articulate their desired user experience, with the ability to build dashboards preferred
Strong organization and communication skills with the ability to direct work, document requirements and present demos
Advanced technical skills with the ability to dive into the data, identify anomalies, and provide high quality, trusted data
Understanding of Specialty Insurance principles and key drivers to create opportunities, loyalty and growth
Knowledge and Experience:
Experience in Data Products, Data Analytics, Data Science, Statistics, Economics or related fields in Insurance, Financial or sales organizations preferred
Strong understanding of MDM and CRM systems and their use with Customer and Broker data
Proficiency in data visualization (Power BI), analytics platform (Snowflake), dashboard design and data storytelling
Experience working with insurance data, and in particular a strong understanding of pipeline intelligence for sales growth/ targeting and performance
Ability to use predictive modeling to drive an understanding of performance, customer behavior, and prospective renewals/ growth to help the Distribution Sales team focus on the best opportunities
Experience managing relationships and teams of stakeholders, business analysts, data analysts, data architects, data modelers, data engineers and testers using agile processes
Skills in data engineering technologies like Kafka, Snowflake / Snowpark, DataBricks, Jira and Agile principles
Experience in managing and manipulating large internal and external datasets
Knowledge of relational and dimensional database structures, theories, principles, and practices
Driven and proven team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment
Excellent communication skills, with the ability to tailor them appropriately for different audiences, technical backgrounds, and seniority
Who We Are:
Beazley is a specialist insurance company with over 30 years' experience helping people, communities and businesses to manage risk all around the world. Our mission is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable businesses to thrive. Our clients want to live and work freely and fully, knowing they are benefitting from the most advanced thinking in the insurance market. Our goal is to become the highest performing sustainable specialist insurer.
Our products are wide ranging, from cyber & tech insurance to marine, healthcare, financial institutions and contingency; covering risks such as the weather, film production or protection from deadly weapons.
Our Culture
We have a wonderful mix of cultures, experiences, and backgrounds at Beazley with over 2,000 of us working around the world. Employee's diversity, experience and passion allow us to keep innovating and moving forward, delivering the best. We are proud of our family-feel culture at Beazley that empowers our staff to work from when and where they want, in an adult environment that is big on collaboration, diversity of thought and personal accountability. Our three core values inspire the way we work and how we treat our people and customers.
- Be bold
- Strive for better
- Do the right thing
Upholding these values every day has enabled us to become an innovative and responsive organization in touch with the changing world around us - our ambitious inclusion & diversity and sustainability targets are testament to this.
We are a flexible and innovative employer offering a friendly, collaborative, and inclusive working environment. We actively encourage and expect applications from all backgrounds. Our commitment to fostering a supportive and dynamic workplace ensures that every employee can thrive and contribute to our collective success.
Explore a variety of networks to assist with professional and/or personal development. Our Employee Networks include:
- Beazley RACE - Including, understanding and celebrating People of Colour
- Beazley SHE - Successful, High potential, Empowered women in insurance
- Beazley Proud - Our global LGBTQ+ community
- Beazley Wellbeing - Supporting employees with their mental wellbeing
- Beazley Families - Supporting families and parents-to-be
We encourage internal career progression at Beazley, giving you all the tools you need to drive your own career here, such as:
- Internal Pathways (helping you grow into an underwriting role)
- iLearn (our own learning & development platform)
- LinkedIn Learning
- Mentorship program
- External qualification sponsorship
- Continuing education and tuition reimbursement
- Secondment assignments
The Rewards
- The opportunity to connect and build long-lasting professional relationships while advancing your career with a growing, dynamic organization
- Attractive base compensation and discretionary performance related bonus
- Competitively priced medical, dental and vision insurance
- Company paid life, and short- and long-term disability insurance
- 401(k) plan with 5% company match and immediate vesting
- 22 days PTO (prorated for 1st calendar year of employment), 11 paid holidays per year, with the ability to flex the religious bank holidays to suit your religious beliefs
- Up to $700 reimbursement for home office setup
- Free in-office lunch, travel reimbursement for travel to office, and monthly lifestyle allowance
- Up to 26 weeks of fully paid parental leave
- Up to 2.5 days paid annually for volunteering at a charity of your choice
- Flexible working policy, trusting our employees to do what works best for them and their teams
Salary for this role will be tailored to the successful individual's location and experience. The expected compensation range for this position is $130,000-$150,000 per year plus discretionary annual bonus.
Don't meet all the requirements? At Beazley we're committed to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every requirement and qualification in the job specification, we encourage you to apply anyway. You might just be the right candidate for this, or one of our other roles.
We are an equal opportunities employer and as such, we will make reasonable adjustments to our selection process for candidates that indicate that, owing to disability, our arrangements might otherwise disadvantage them. If you have a disability, including dyslexia or other non-visible ones, which you believe may affect your performance in selection, please advise us in good time and we'll make reasonable adjustments to our processes for you.
