Senior Data Engineer – ETL & Analytics Pipelines

CVS Health; South Dakota; On-site; USD 83,000 - 222,000; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to design and implement data pipelines powering analytical capabilities and to translate business requirements into scalable technical solutions.

You will build datasets for analytics and data science workloads, and play a key role in modeling the Core Data Domain to support BI and ML use cases. This hands-on role emphasizes performance, governance, and secure data access across cloud environments.

Qualifications

• 5+ years of data engineering experience.
• Strong proficiency in SQL and complex queries.
• Experience with Python and ETL pipelines.
• Cloud experience with Azure/AWS/GCP and data governance.

Responsibilities

• Data Modeling & Architecture: Develop data models and schemas for analytics, reporting, and ML requirements.
• Data Pipeline Development: Design and build ETL/ELT pipelines from multiple sources.
• Performance Optimization: Tune, partition, and cluster data for cost-efficient queries.
• Data Quality & Governance: Establish data quality standards and security policies.
• Data Integration & Transformation: Collaborate with scientists and analysts to integrate with BI and ML workloads.
• Documentation & Knowledge Sharing: Create docs and mentor junior engineers.
• Design and architect data infrastructure for analytics workloads.

Skills

SQL

Python

ETL

Data modeling

Cloud platforms

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health is seeking a Senior Data Engineer to design and implement data pipelines powering analytical capabilities and to translate business requirements into scalable technical solutions.

You will build datasets for analytics and data science workloads, and play a key role in modeling the Core Data Domain to support BI and ML use cases. This hands-on role emphasizes performance, governance, and secure data access across cloud environments.