Immersion Data Solutions Jobs in Usa

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Lecturer - Data Science Undergraduate Studies - College of Computing, DataScience, and Society
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.

Percent time:
15% to 100%

Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.

Review timeline:
Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application.

Application Window


Open date: June 9, 2025




Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.



About DSUS



Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.



Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.



DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.



DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Responsibilities



DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.



Core courses include:

Fundamentals of Data Science

Principle and Techniques of Data Science

Human Contexts and Ethics of Data

Data and Justice

Data, Inference, and Decisions

Honors Thesis Seminar



Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.



Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.



Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.



Department: dsus

Division:



Qualifications

Basic qualifications (required at time of application)

Must have an advanced degree or be enrolled in an advanced degree program at the time of application.



Additional qualifications (required at time of start)

Advanced degree. Candidates must already be authorized to work in the United States.



Preferred qualifications

A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.



Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.




Reference requirements
  • 3-4 required (contact information only)


Apply link:
JPF04958

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Staff Data Scientist, Ad Measurement Products
Salary not disclosed
San Francisco, CA 2 days ago

About Pinterest:


Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.


Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.


At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.


Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You'll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.



What you'll do:



  • Own the development of measurement methodologies that help advertisers understand and optimize the value of their Pinterest campaigns across the full ads delivery funnel.
  • Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
  • Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, and under-power.
  • Influence Ads Product & Engineering to define the measurement roadmap and integrate science solutions into products and platforms.
  • Collaborate with internal and external measurement partners (e.g., clean rooms, conversion APIs, MMM partners, MTA vendors) to design and evaluate joint solutions.
  • Define and own key success metrics for 1P measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
  • Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
  • Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, and external customers.


What we're looking for:



  • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  • 5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
  • Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
  • Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
  • Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
  • Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.


In-Office Requirement Statement:



  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.


Relocation Statement:



  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-NM4


#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.


Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only$164,695—$339,078 USD

Our Commitment to Inclusion:


Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.

Not Specified
Senior Domain Expert Lead- STEM (Contract), AGI - Data Services
🏢 Amazon
Salary not disclosed
Boston, MA 2 days ago
**This is an experimental role to support a business pilot and can potentially span up to 12 months**

Embark on a transformative journey as our Sr. Domain Expert Lead, where intellectual rigor meets technological innovation. As a Sr. Domain Expert Lead, you will blend your advanced analytical skills and domain expertise to provide strategic oversight to our human-in-the-loop and model-in-the-loop data pipelines. You will also provide mentorship and guidance to junior team members. Your responsibilities will ensure data excellence through strategic oversight of high-quality data output, while delivering expert consultation throughout the pipeline and fostering iterative development. This position directly impacts the effectiveness and reliability of our AI solutions by maintaining the highest standards of data quality throughout the development process while building capability within the broader team.

Key job responsibilities
• Serve as a trusted domain advisor to cross-functional teams, providing strategic direction and specialized problem-solving support
• Champion domain knowledge sharing across multiple channels and teams to maintain data quality excellence and standardization
• Drive collaborative efforts with science teams to optimize output of complex data collections in your domain expertise, ensuring data excellence through iterative feedback loops
• Foster team excellence through mentorship and motivation of peers and junior team members
• Make informed decisions on behalf of our customers, ensuring that selected code meets industry standards, best practices, and specific client needs
• Collaborate with AI teams to innovate model-in-the-loop and human-in-the-loop approaches, to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more.
• Stay abreast of the latest developments in how LLMs and GenAI can be applied to your area of expertise to ensure our evaluations remain cutting-edge.
• Develop and write demonstrations to illustrate "what good data looks like" in terms of meeting benchmarks for quality and efficiency
• Provide detailed feedback and explanations for your evaluations, helping to refine and improve the LLM's understanding and output
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of guiding and coaching a group of researchers experience
- 1+ years of working with or evaluating AI systems experience
- 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience applying theoretical models in an applied environment- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team, cross-disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at , MA, Boston - 136, ,000.00 USD annually
USA, WA, BELLEVUE - 136, ,000.00 USD annually
contract
Technical Product Manager (Data Analytics)
✦ New
🏢 Nexwave
Salary not disclosed
Austin, TX 1 day ago

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+


Rate : $55/Hr on W2 Max


Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.


Original JD:

  • Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
  • Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
  • Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
  • You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
  • Excellent communication, social, and presentation skills with meticulous attention to detail.
  • Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
  • Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

  • Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
  • Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
  • Closely partner with our Data Science team to define metrics, datasets, and automation strategy
  • Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
  • Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
  • Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
  • Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management


Key Qualifications :

  • Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
  • Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
  • Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
  • Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
  • Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.


Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)


Description :

  • Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.


Stephen

Lead Talent Acquisition Specialist

Email :

Not Specified
Solution Advisor
✦ New
Salary not disclosed
Washington, DC 1 day ago

SteerBridge Strategies is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.


As the Senior Solution Advisor for Perioperative Services, you will be a critical subject matter expert and trusted advisor, bridging the gap between the client’s surgical and anesthesia departments and the capabilities of the Oracle Health (Cerner) Millennium EHR. You will guide stakeholders through complex workflow transformations, driving the successful design and adoption of the SurgiNet and Anesthesia Management solutions. Your primary objective is to ensure these solutions improve patient safety, optimize resource utilization (ORs, staff, equipment), and ensure accurate charge capture in the highly complex perioperative environment.

To excel in this senior position, you must have a strong background in perioperative informatics, OR nursing/technology, or clinical applications consulting. You will lead the design of the entire surgical journey, from case scheduling to PACU, and be the go-to expert for the intricate processes of preference card management and supply/implant documentation. You will also oversee the integration of the Anesthesia Information Management System (AIMS) with physiological monitors and anesthesia machines. Your role will involve close collaboration with key stakeholders—including surgeons, anesthesiologists, OR nurses, schedulers, sterile processing directors, and supply chain leaders—to ensure the perioperative suite is safe, efficient, and financially sound.

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

Key Responsibilities:


Client & Stakeholder Engagement:

Serve as the primary consultant for perioperative leadership on all aspects of the Oracle Health SurgiNet and Anesthesia solutions.

Provide expert support and knowledge transfer on perioperative best practices, including governance for preference cards, block scheduling, and charge capture.

Work directly with client counterparts to facilitate design workshops, review deliverables, and drive consensus on perioperative workflow and build changes.

Solution Design & Workflow Analysis:

Lead the analysis and design of the end-to-end perioperative workflow, including case scheduling, pre-admission testing (PAT), intraoperative nursing and anesthesia documentation, and PACU.

Oversee the design and maintenance strategy for foundational elements like surgical preference cards, resource scheduling (rooms/equipment), and integration with supply chain/inventory management.

Define requirements for the Anesthesia Information Management System (AIMS), including its integration with bedside monitors via CareAware for real-time data flow.

Implementation & Solution Management:

Act as a lead or driver for testing events, including developing and documenting scripts in an Application Lifecycle Management (ALM) tool to validate complex surgical and anesthesia workflows.

Provide expert support for cutover planning, go-live execution, and post-go-live sustainment, including ticket management for perioperative issues.

Assist in the review of training manuals and job aids to ensure they accurately reflect the configured workflows and system design.

Required Qualifications:

Experience: A minimum of 5-7 years of combined experience in perioperative informatics, surgical services leadership, or as an OR nurse/technologist with significant "super user" or implementation experience.


Oracle Health/Cerner Expertise: Direct, hands-on experience with the Oracle Health (Cerner) Millennium platform. Specific expertise in SurgiNet, Anesthesia Management, Preference Card Management, and CareAware is required.


Domain Expertise: Demonstrated expertise in perioperative workflows, sterile processing, preference card management, surgical billing/charging, and resource management.


Communication: Excellent verbal and written communication skills, with the ability to effectively engage with both technical teams and senior clinical/surgical leadership.


Education: Bachelor’s degree in a related field. A clinical background and license (e.g., RN, CST) is strongly preferred.


SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity—regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Not Specified
Lead Data Warehouse Engineer
✦ New
Salary not disclosed
New York, NY 1 day ago

Description

The Scientific Computing & Data group at the Icahn School of Medicine at Mount Sinai (ISMMS) accelerates scientific discovery by supporting a high-performance computing and research data ecosystem. This includes a data commons and two clinical research data warehouses: one for ISMMS and one for the Kidney Precision Medicine Project (KPMP), a multi-institutional research consortium ( ) funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK). Both warehouses use Microsoft SQL Server and the OMOP Common Data Model.


The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading development, maintenance, and operations of these research data warehouses. The role collaborates with warehouse team members and research stakeholders to expand functionality and integrate new data sources. Data transformations are built in Transact-SQL stored procedures, with SSIS used for orchestration.


Responsibilities

  • Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.
  • Design, build, test, and maintain ETL/ELT processes using T-SQL stored procedures, SSIS, and SQL Agent; apply metadata-driven design for extensibility.
  • Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.
  • Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.
  • Mentor junior engineers in data warehousing, data engineering skills, and operational support.
  • Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).
  • Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.
  • Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.
  • Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.
  • Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.
  • Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.
  • Ensure patient privacy and data security in compliance with IRB & cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.
  • Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.
  • Identify improvements in procedures, technology, compliance, and data privacy/security.
  • Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.
  • Perform related duties as assigned.


Qualifications

  • Bachelor’s degree in a technical field; Master’s preferred.
  • 12–15 years of related experience, including 7+ years designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.


Preferred

  • Expert knowledge of data warehousing: 3NF & dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based & parameter-driven development.
  • Expert-level experience with Microsoft SQL Server technologies: T-SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, Linked Servers, SSIS, Visual Studio, SSDT, and SQL Agent.
  • Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.
  • Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.
  • Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.
  • Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).
  • Preferred experience with Azure Synapse, Azure Data Factory, Oracle PL/SQL, PostgreSQL PL/pgSQL.
  • Experience with SQL Server administration: configuration, performance tuning, partitioning, materialized views, permissions, backups & restorations.
  • Preferred experience with scripting in Windows & Linux (PowerShell, Python, or similar); HL7; web services/REST APIs; reporting tools like SSRS, Power BI, Tableau.


Strength through Unity and Inclusion


The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.


At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.


About the Mount Sinai Health System:


Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.


Equal Opportunity Employer


The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.


Compensation


The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Not Specified
Master Data Specialist
Salary not disclosed
Atlanta, GA 3 days ago

Job ID: 518652

Exempt


Oldcastle Infrastructure™, a CRH company, is the leading provider of utility infrastructure solutions for the water, energy, and communications markets throughout North America. We’re more than just a manufacturer of precast concrete, polymer concrete, or plastic products. We’re a trusted and strategic partner to engineers, contractors, distributors, specifiers, and more. With our network of more than 80 manufacturing facilities and more than 4,000 employees, we’re leading the industry with innovation and a safety-first mindset.



Job Summary


Oldcastle Infrastructure (OI), as part of CRH’s Infrastructure Products Group (IPG), is a global manufacturing leader of utility infrastructure products. Our goal is to be the most efficient producer of engineered systems and our customers’ strategic partner of choice. A crucial part of OI’s journey is the investment in a new ERP system. With a modern, common platform, OI will unlock the benefits of its scale, deliver a better customer experience, and build a foundation for continuous process improvement.


Data integrity is crucial to capturing the value of an ERP system. Master Data Specialist will be responsible for understanding how data should be created, maintained, interconnected, and utilized within the new system to satisfy the key needs of all stakeholders. During the ERP project, Master Data Specialist will play a crucial role in system validation and integration testing, by validating that business use cases are functioning as intended. They will support business stakeholders and process leaders by analyzing, validating, and displaying data so it can be most useful in driving business results.


Job Location


  • This role will work hybrid out of our office in the Sandy Springs, GA area with periodic heavy domestic travel.


Job Responsibilities


ERP Design & Preparation

  • Work with business process leads, key stakeholders and end users to understand end-to-end, cross-functional data requirements
  • Ensure data requirements are captured in business use cases
  • Participate in master data discovery, extraction, cleansing, conversion, and loading
  • Support data augmentation as needed
  • Support data visualization as needed
  • Understand data bridge to legacy systems and reports, to support stakeholders and users as they adopt the new system


ERP Testing & Deployment

  • Participate in User Review Testing and execute business scenarios
  • Identify defects and issues
  • Support business users with data integrity issues and questions during ERP go-live & hyper-care


Job Requirements


  • 3+ years of master data and ERP system expertise, including:
  • Data extraction, cleansing and loading
  • Hands-on experience with SAP or part of another ERP implementation team
  • 3+ years of business process experience, including:
  • KPI reporting and data visualization to drive business results
  • Data quality monitoring; master data governance
  • Problem solving skills to identify and resolve the root cause of issues and creativity to drive continuous improvement
  • Organized and accountable to ensure work is managed and deadlines are met
  • Strong interpersonal skills
  • Ability to communicate in a simple, articulate, thoughtful manner
  • Innovative spirit to work cross-functionally in developing improvement ideas
  • A pleasant, likeable manner while accomplishing challenging results
  • Bachelor’s Degree in relevant discipline


What CRH Offers You


  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • An inclusive culture that values opportunity for growth, development, and internal promotion



About CRH


CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.


If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!


Oldcastle Infrastructure, a CRH Company, is an Affirmative Action and Equal Opportunity Employer.


EOE/Vet/Disability


CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

Not Specified
Senior Project Manager - Electrical - Data Centers
Salary not disclosed
Dallas, TX 3 days ago

Electrical Senior Project Manager | Data Centers


Dallas, TX | Full-Time


Seeking an experienced Project Manager, specializing in Electrical Construction to lead large-scale Data Center Construction build from start to finish. In this role, you’ll oversee all aspects of project delivery, from planning, estimating, and budgeting to execution, safety, and client satisfaction.


This is a progressive opportunity for an individual seeking an elevation move, or a Senior Project Manager looking for a new start with an progressive Electrical Data Center contractor.


You’ll collaborate with cross-functional teams, including JV Partnerships and vendors, mentor project staff, and ensure every build meets design, performance, and financial goals. This is an exciting opportunity to play a key role in developing mission-critical infrastructure that powers the world’s digital future.


Key Responsibilities


  • Lead and manage all phases of Data Center construction projects, from planning and estimating through delivery and close-out.
  • Ensure compliance with all project, client, and safety standards.
  • Develop project timelines, budgets, and resource plans, aligning with design and performance goals.
  • Coordinate cross-functional teams, subcontractors, and vendors to ensure on-time execution.
  • Build and maintain strong, solution-oriented relationships with clients and stakeholders.
  • Oversee procurement, billing, and collections, ensuring financial integrity across projects.
  • Conduct regular site reviews to monitor progress, safety, and quality standards.
  • Mentor and develop team members, fostering a culture of accountability, collaboration, and growth.
  • Support senior leadership in forecasting, reporting, and future project planning.
  • Champion continuous improvement across communication, delivery, and technical performance.


Qualifications


  • Bachelor’s degree in Construction Management, Engineering, Project Management, or related field — or an equivalent combination of education and professional experience (e.g., Journeyman or Master Electrician license).
  • 5+ years in Electrical Construction Project Management.
  • 3+ years Experience in Mission-Critical, Hyperscale or Large Commercial Project Environments.
  • Strong understanding of electrical distribution systems, cabling, and white space fit-out.
  • Proven ability to deliver complex retrofits and coordinate cross-discipline critical systems.
  • Advanced problem-solving and conflict-resolution skills, with a calm, solutions-focused approach.
  • Proficiency with digital tools and project management systems; ability to adapt quickly to new software.
  • Commitment to leadership development and professional growth—for yourself and your team.
  • Must be authorized to work in the U.S.


If you're a strategic leader with the ability to manage large-scale, complex projects, are a hands-on problem solver hit apply or reach out to me directly.


646-396-5018

Not Specified
Data Reporting Analyst
🏢 Deploy
Salary not disclosed
Birmingham, AL 3 days ago

DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.

You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.

At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.

Key Responsibilities

Enterprise Reporting (Hands-On Development)

  • Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
  • Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
  • Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
  • Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
  • Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
  • Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
  • Support reporting scalability as our client grows (new factories, new business units, new product lines).

Enterprise Reporting Standards & Governance

  • Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
  • Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
  • Review and approve reporting change requests, data model modifications, and access requests.
  • Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
  • Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.

Enterprise Data Architecture

  • Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
  • Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
  • Build and govern the centralized semantic model that powers reporting across the company.
  • Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
  • Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.

Leadership & Collaboration

  • Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
  • Communicate complex architectural concepts in clear, business-friendly terms.
  • Lead cross-functional initiatives that require unified data structures or scalable reporting.
  • Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.

Ideal Candidate Profile

  • Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
  • Track record of establishing and enforcing enterprise reporting standards and governance.
  • Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
  • Able to operate as both an individual contributor and a strategic leader.
  • Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
  • Comfortable influencing architectural decisions and guiding technical execution.
  • Strong command of foundational tools and languages such as:
  • DAX
  • Power Query / M
  • SQL
  • Fabric pipelines / ETL tooling
  • Experience with automation and AI-assisted analytics workflows.
Not Specified
Regional Data Collection - Golf & Sports Turf
Salary not disclosed
Raleigh, NC 3 days ago

About the Job

Ecorobotix Inc. creates innovative robotic solutions that reduce the negative ecological impact of modern agriculture. We have developed an AI-based ultra-high precision spot spraying technology that drastically reduces the amount of chemicals used in crop fields while keeping costs competitive. The technology is currently deployed on our tractor-towed ARA machine. By joining our talented and dynamic team, you will contribute to a more sustainable, environment-friendly agriculture in an innovative scale-up at the cutting edge of technology. We are a revolutionary organization with a great work environment that supports creativity through self-motivation.


General Objective of the Role

Support the development of Ecorobotix’s turf-care system through collection of high-quality turf imagery and environmental data to support AI model training and validation. The Regional Turf Data Technician is responsible for building and maintaining relationships with golf courses, sod farms, sports fields to assess whether their facilities have the type of data that we need to photograph and obtain any permits needed to collect those photographs. The Regional Turf Data Technician will need to produce high quality and variety of images of desired turfgrass species and document pests based on business needs. This individual will work outdoors to ensure regular monitoring of turfgrass and associated pests within their geographical area.


Reporting Lines & Interactions

Reports Turf Data Team Manager, Turf Division. This role will collaborate with the AI and Crop Vision team as well as Turf Data Quality teams to ensure they are achieving data quantity and quality goals. The Regional Turf Data Technician will also collaborate with other members of the pre- and after-sales teams of Ecorobotix Inc. as required to scout for data collection locations. Externally, interaction with dealers, superintendents, turf farm managers, and athletic facility managers on turf facilities or at regional association meetings and trade shows is required.


Key Responsibilities

  • Become data project specialist for your assigned region
  • Collect turfgrass imagery according to defined protocols
  • Operate and maintain camera and field data systems
  • Work with sales team to collect data at turf facilities in assigned region
  • Assist with analysis of future turfgrass model data collection and methods to improve data collection work flow
  • Up to 70% required travel within given territory with occasional travel outside of territory based on business needs.


Qualifications

  • 2+ years of experience in managing turfgrass field research data collection.
  • Familiarity with turf management, turf weeds or agricultural imaging.
  • Bachelor’s degree in turfgrass science, agronomy or horticulture
  • Two or more years of experience in turfgrass management (e.g. golf course, lawn care, sports field, sod farm management)
  • Have a strong knowledge or interest in turfgrass management and pest management
  • Knowledge of IT tools (tablets with internal software, smartphones) to manage communications and necessary data.
  • 2+ years of experience interacting with turfgrass managers
  • Must have a clean driving record


Experience/Skills

  • Technical proficiency with sensors and data tools.
  • Ability to travel up to 70% and work outdoors in varying conditions in their region.
  • Excellent organization and communication skills.
  • Knowledge of turfgrass management techniques (knowledge of weeds, diseases, weed control methods, machinery and work on turfgrass managers in general)
  • High degree of independence, reliability and initiative.
  • Strong team spirit with a desire to work in a fast-paced environment.
  • Analytical and structured approach to work with the ability to adapt quickly to changes
  • Dedicated person with systematic, goal-oriented working methods
  • Ability to manage multiple projects simultaneously and meet deadlines.
  • Excellent written and verbal presentation skills with clear and consistent communication.
  • Proficiency in Microsoft Excel, PowerPoint and Word
  • Interest in precision turfgrass management and innovation in the golf and turf industry.
Not Specified
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