Data Engineer - Analytics

Join the People Analytics Data Engineering team to build and run cloud data pipelines that power People and Workforce analytics.

• 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

• 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 Big Query
• 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

• Workday
• ETL, ELT
• SQL
• Python
• R
• GCP
• Azure
• AWS
• Snowflake
• Redshift
• Big Query
• Airflow
• Composer
• PowerBI
• Tableau
• Oracle BI
• Visier

• 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: Raleigh, NC (onsite)
• Weekly hours: 40
• Time type: Full time

• Salary range: USD 83, per yearly
• Pay range (listed): $83,430.00 - $
• Incentive eligibility: Eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above

• Medical, dental, and vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources (based on eligibility)

Anticipated application window closes on 10/22/2026
.