Senior Data Engineer: Data Pipelines, Modeling & Governance

CVS Health Corporation; Oregon; Hybrid; USD 83,000 - 222,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health Corporation seeks a Sr. Data Engineer to design and implement data pipelines powering analytics. This hands-on role focuses on translating business needs into scalable data solutions, with emphasis on data modeling for analytic workloads and data governance.

You will work with a team delivering datasets for analytics and data science, shaping Core Data Domain to support various access patterns and use cases, while mentoring junior engineers and documenting processes.

Qualifications

• Proficiency in SQL and ability to write complex queries.
• Python experience for ETL pipelines.
• Cloud deployment experience (Azure/AWS/GCP).
• Knowledge of data governance best practices in cloud environments.
• Strong communication and collaboration with data scientists, analysts, and product owners.

Responsibilities

• Model and optimize data architectures for analytics and data science workloads.
• Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
• Tune performance with partitioning and clustering to optimize queries and reduce costs.
• Establish and enforce data quality standards and governance frameworks.
• Collaborate with data scientists and analysts to design data solutions for BI and ML workflows.
• Create documentation for pipelines, workflows, and processes; mentor junior engineers.
• Design data infrastructure for analytical workloads and data marts.

Skills

SQL

Python

Data governance

Communication

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

CVS Health Corporation seeks a Sr. Data Engineer to design and implement data pipelines powering analytics. This hands-on role focuses on translating business needs into scalable data solutions, with emphasis on data modeling for analytic workloads and data governance.

You will work with a team delivering datasets for analytics and data science, shaping Core Data Domain to support various access patterns and use cases, while mentoring junior engineers and documenting processes.