Data Engineer - People Analytics
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Job Description
Join the People Analytics Data Engineering team to build and run cloud data pipelines that power People and Workforce analytics.
Responsibilities
- Design, build, and manage robust data pipelines and ETL processes integrating HR data from multiple systems
- Develop and optimize data workflows to support accuracy, data quality, and availability for People Analytics teams and HR and business stakeholders
- Oversee a team of data engineers, including mentorship, support, and guidance on data engineering best practices, version control, and coding standards
- Partner with People Analytics to structure data for analysis, develop data models, and produce reproducible workflows for reporting in R, Python, and other analytics tools
- Ensure data governance and security requirements are met in line with company policies and industry regulations, emphasizing HR data confidentiality and compliance
- Collaborate with HR leaders, IT, and People Analytics stakeholders to clarify business requirements, streamline data requests, and support strategic decision-making
Requirements
- 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 (Azure or AWS considered)
- 2+ years experience with data warehousing solutions, such as Snowflake, Redshift, or BigQuery
- 2+ years experience with scheduling tools such as Airflow or Composer
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related field
Technologies
- Workday
- ETL, ELT
- SQL
- Python
- R
- GCP
- Azure
- AWS
- Snowflake
- Redshift
- BigQuery
- Airflow
- Composer
- PowerBI
- Tableau
- Oracle BI
- Visier
Preferred Qualifications
- Experience with Workday or similar HRIS platforms and HR-context data flows
- Problem-solving and analytical skills to troubleshoot, optimize, and automate data processes
- Strong communication skills to explain complex technical processes to non-technical stakeholders
- Familiarity with data visualization and business intelligence tools such as PowerBI, Tableau, Oracle BI, Visier, etc.
- Technical experience related to people or talent analytics, data engineering, visualization, business intelligence, or analytical consulting
Location and Schedule
- Location: Raleigh, NC (onsite)
- Weekly hours: 40
- Time type: Full time
Pay
- Salary range: USD 83,430 - 222,480 per yearly
- Pay range (listed): $83,430.00 - $222,480.00
- Incentive eligibility: Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources (based on eligibility)
Application Window
Anticipated application window closes on 10/22/2026.
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