Data Engineer - People Analytics

Location: TX - Farmers Branch, Work At Home-Idaho, Work At Home-Arkansas, Work At Home-Texas, Work At Home-Georgia, CT - Hartford, Work At Home-Montana, Work At Home-Iowa, Work At Home-Oregon, Work At Home-Wisconsin, Work At Home-Washington, RI - Woonsocket, Work At Home-New York, Work At Home-District of Columbia, Work At Home-Connecticut, Work At Home-Nebraska, Work At Home-Rhode Island, Work At Home-Kentucky, Work At Home-Tennessee, Work At Home-Ohio, Work At Home-West Virginia, Work At Home-Massachusetts, Work At Home-Maryland, Work At Home-South Carolina, Work At Home-Missouri, Work At Home - Utah, Work At Home-Arizona, Work At Home-South Dakota, Work At Home-Pennsylvania, Work At Home-New Hampshire, Work At Home-Vermont, Work At Home-Minnesota, Work At Home-New Mexico, Work At Home-Michigan, Work At Home-California, Work At Home-Maine, Work At Home-North Dakota, Work At Home-Kansas, Work At Home-New Jersey, Work At Home-Indiana, Work At Home-Nevada, Work At Home-Louisiana, Work At Home-Mississippi, Work At Home-Oklahoma, Work At Home-Alabama, Work At Home-Virginia, AZ - Scottsdale, Work At Home-Illinois, Work At Home-North Carolina, Work At Home-Florida, Work At Home-Colorado, Work At Home-Wyoming, Work At Home-Delaware

Remote Type: Remote/Hybrid

Time Type: Full time

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. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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.

Additional details about available benefits are provided during the application process and on Benefits Moments.

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

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