Data Engineer, People Analytics & Data Pipelines

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

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.