Data Engineer - People Analytics

9025 CVS Shared Services Resources LLC; Farmers Branch (TX); On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Data Engineer - People Analytics to design and deliver data warehouse modeling, pipelines, and analytics for HR and workforce insights. You will collaborate with HR, IT, and People Analytics to ensure accurate data, scalable workflows, and secure data practices in a cloud environment.

The role emphasizes leadership of a data engineering team, production-grade data workflows, and cross-functional partnering to enable reporting in Python and analytical tools.

Qualifications

• 3+ years of experience in Data Engineering.
• 3+ years in ETL/ELT processes and tools.
• 3+ years' experience with SQL and relational databases.
• 2+ years programming in Python for data manipulation.

Responsibilities

• Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various sources.
• Develop and optimize data workflows for accuracy, quality, and availability for HR and stakeholders.
• Mentor and guide the data engineering team on best practices, version control, and coding standards.
• Structure data for analysis and create reproducible workflows for reporting in Python and other tools.
• Ensure data governance and security for HR data in compliance with policies.

Skills

Python

SQL

Data pipelines

ETL/ELT

Cloud platforms (GCP)

Data warehousing

Airflow

Education

Bachelor's degree in Computer Science or related field

Tools

Workday

Power BI

Tableau

Job description

We’re building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary

The Data Engineer - People Analytics role is a technical developer in IT and individual contributor for the People Analytics Data Engineering team responsible for the development of data warehouse modeling, data pipelines, and related analytics specific to People and Workforce analytics in cloud data platforms.

Key Responsibilities

• Data Pipeline Management Design, build, and manage robust data pipelines and ETL processes that integrate HR data from various systems, including Workday, talent management, payroll, and other data sources.
• Data Engineering and Transformation Develop and optimize data workflows to ensure data accuracy, quality, and availability for the People Analytics team and stakeholders across HR and business units.
• Technical Leadership Oversee a team of data engineers, providing mentorship, support, and guidance on best practices in data engineering, version control, and coding standards.
• Analytics & Reporting Support Work closely with People Analytics to structure data for analysis, develop data models, and create reproducible workflows that enable efficient reporting in R, Python, and other analytics tools.
• Data Security and Compliance Ensure data governance and security protocols are followed in accordance with company policies and industry regulations, with a focus on HR data confidentiality and compliance.
• Collaboration with Stakeholders Partner with HR leaders, IT, and People Analytics teams to understand business requirements, streamline data requests, and provide insights to support strategic decisions.

Required Qualifications

• 3+ years' experience in Data Engineering
• 3+ years' experience with ETL/ELT processes and tools.
• 3+ years' experience with SQL and relational databases.
• 2+ years' experience programming in Python for data manipulation, automation, and analysis.
• 3+ years' experience with cloud platforms, prefer GCP (may consider Azure or AWS).
• 2+ years' experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• 2+ years' experience with scheduling tools like Airflow or Composer.

Preferred Qualifications

• Experience with Workday or similar HRIS platforms and data flows within an HR context.
• Problem-Solving ability and strong analytical skills with the ability to troubleshoot, optimize, and automate data processes.
• Strong communication skills with the ability to communicate complex technical processes to non-technical stakeholders effectively.
• Familiarity or working knowledge of common data visualization or business intelligence tools (PowerBI, Tableau, Oracle BI, Visier, etc.).
• Preferably technical experience specific to people or talent analytics, data engineering, visualization, business intelligence, or analytical consulting.

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field required. Master's degree preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Application Window

We anticipate the application window for this opening will close on: 10/22/2026

Equal Opportunity / Disqualifications

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Our Work Experience

Our Work Experience is the combination of everything that’s unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it’s our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.