Data Engineer - People Analytics

CVS Health; Raleigh (NC); On-site; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health's People Analytics Data Engineering team is seeking a seasoned data engineer to design, build, and manage robust data pipelines and ETL processes that integrate HR data from multiple systems.

You will lead a team, mentor engineers, ensure data accuracy, governance, and security, and partner with HR leaders to deliver reproducible data workflows using Python, SQL, and cloud platforms (GCP/AWS/Azure).

Qualifications

• 3+ years of Data Engineering experience.
• 3+ years ETL/ELT experience.
• 3+ years SQL and relational databases experience.
• 2+ years Python programming for data manipulation.
• 3+ years cloud platforms experience; GCP preferred.
• 2+ years data warehousing with Snowflake/Redshift/BigQuery.
• 2+ years scheduling with Airflow or Composer.
• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field.

Responsibilities

• Design, build, and manage robust data pipelines and ETL processes integrating HR data from multiple systems.
• Develop and optimize data workflows to ensure data accuracy, quality, and availability for analytics.
• Oversee a team of data engineers, including mentorship and coding standards guidance.
• Partner with HR analytics to structure data for analysis and produce reproducible workflows in Python, SQL, and analytics tools.
• Ensure data governance and security requirements are met in line with company policies and HR regulations.
• Collaborate with HR leaders and IT stakeholders to clarify requirements and support strategic decisions.

Skills

Data engineering

Team leadership

Data governance

Communication

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, or related field

Tools

Snowflake

Redshift

BigQuery

Airflow

Composer

Workday

PowerBI

Tableau

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.