Array Declaration In Data Structure Jobs in Usa

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

Visa Status: US Citizen or Green Card Only

Location: Irving, TX (Local Candidates Only)

Employment Type: Full-time / Direct Hire

Work Environment: Hybrid (Monday thru Thursday - in office / Friday - at home)

***MUST HAVE 10+ YEARS EXPERIENCE AS A DATA ENGINEER***

***US Citizen or Green Card Only***

The AWS Senior Data Engineer will own the planning, design, and implementation of data structures for this leading Hospitality Corporation in their AWS environment. This role will be responsible for incorporating all internal and external data sources into a robust, scalable, and comprehensive data model within AWS to support business intelligence and analytics needs throughout the company.

Responsibilities:

• Collaborate with cross-functional teams to understand and define business intelligence needs and translate them into data modeling solutions
• Develops, builds and maintains scalable data pipelines, data schema design, and dimensional data modelling in Databricks and AWS for all system data sources, API integrations, and bespoke data ingestion files from external sources. Includes Batch and real-time pipelines.
• Responsible for data cleansing, standardization, and quality control
• Create data models that will support comprehensive data insights, business intelligence tools, and other data science initiatives
• Create data models and ETL procedures with traceability, data lineage and source control
• Design and implement data integration and data quality framework
• Implement data monitoring best practices with trigger based alerts for data processing KPIs and anomalies
• Investigate and remediate data problems, performing and documenting thorough and complete root cause analyses. Make recommendation for mitigation and prevention of future issues.
• Work with Business and IT to assess efficacy of all legacy data sources, making recommendations for migration, anonymization, archival and/or destruction.
• Continually seek to optimize performance through database indexing, query optimization, stored procedures, etc.
• Ensure compliance with data governance and data security requirements, including data life cycle management, purge and traceability.
• Create and manage documentation and change control mechanisms for all technical design, implementations and systems maintenance.

Target Skills and Experience

• Bachelor's or graduate degree in computer science, information systems or related field preferred, or similar combination of education and experience
• At least 10 years’ experience designing and managing data pipelines, schema modeling, and data processing systems.
• Experience with Databricks a plus (or similar tools like Microsoft Fabric, Snowflake, etc.) to drive scalable data solutions.
• Experience with SAP a plus
• Proficient in Python, with a track record of solving real-world data challenges.
• Advanced SQL skills, including experience with database design, query optimization, and stored procedures.
• Experience with Terraform or other infrastructure-as-code tools is a plus.

Data Center Facilities Operations Technician

Onsite in New Albany, OH

W‑2 Contract‑to‑Hire

Launch Your Career in Data Center Facilities Operations

We’re hiring motivated, early career individuals to begin a hands-on career supporting the critical infrastructure inside large-scale AWS data centers. This is a structured, contract-to-hire opportunity where you’ll receive hands-on training designed to prepare you for full-time conversion, while working alongside experienced Engineering Operations Technicians (EOTs) in a highly professional, safety-driven environment. We are looking for individuals who take pride in their work, show up reliably, follow procedures, and are serious about building a long-term career.

What You’ll Do

• Support daily operations of mechanical and electrical systems.
• Perform routine inspections, equipment checks, and operational rounds.
• Log readings, document observations, and respond to system alerts.
• Follow strict safety and operational procedures at all times.
• Assist with equipment installs and facility buildout activities.
• Work alongside experienced teams to maintain facility uptime and reliability.

What We’re Looking For

• Highly motivated and eager to develop a long-term career in Data Center Facilities Operations, demonstrating positive attitude and strong aptitude to learn and grow.
• Background in hands-on or structured environments preferred (maintenance, manufacturing, construction, military service, etc.), with a history of staying in roles for multiple years.
• Proven reliability, strong work ethic, and consistent attendance in previous roles.
• Ability to follow processes and maintain attention to detail in a 24/7 critical environment.
• Ability to lift up to 39 lbs and working on ladders when needed.
• Ability to pass a background check and drug screen.

Schedule

• 12‑hour shifts (6AM–6PM or 6PM–6AM).
• Rotating schedule: 3 days on / 4 days off, then 4 days on / 3 days off, etc.
• Shifts include weekends, with an average of approximately 42 hours per week.

Career Path & Training

• Structured, on-the-job training program in data center facilities operations.
• Gain valuable hands-on skills with electrical, mechanical, power, cooling, and building systems.
• Clear contract-to-hire pathway with permanent conversion targeted at 6 months.
• Ongoing coaching, mentorship, and development alongside experienced EOTs.
• Benefits include paid training, weekly pay, holiday pay, and health insurance.

• 
  
• 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.
  

• 
  
• 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.
  

• 
  
• 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.
  

• 
  
• 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.
  

• 
  
• 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.
  

*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:

Pay 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

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

• 5+ years in data science, analytics, or cloud financial operations
• Expertise in Python, SQL, and data science libraries (e.g., pandas, scikit-learn)
• Strong statistical modeling and machine learning skills
• Deep understanding of Azure and AWS cost structures and optimization levers
• Excellent communication and stakeholder engagement skills
• Experience with BI tools (Power BI, Tableau)
  
  

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.