Senior Data Engineer

CVS Health

Closes in 6 days Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $83,430–$222,480 / yr
Posted: 2 days ago
Closes: Jun 12, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $176k

This role $153k

$67k most similar roles pay here $239k

This role pays less than 69% of similar roles. Most pay $140,418–$211,200 — the shaded band above. At the midpoint, this role pays about $153k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Data Engineer

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We are hiring a Senior Data Engineer to join our dedicated team responsible for creating robust datasets for financial and analytical workloads. In this hands-on role, you will design and implement ETL/ELT data pipelines, optimize performance through best practices, establish data quality standards, and develop data models to support analytics and machine learning requirements. You will collaborate closely with data scientists and analysts to integrate data solutions with BI tools and mentor junior engineers by creating comprehensive documentation. The ideal candidate has 5+ years of experience in Python for ETL pipelines, SQL for complex queries, and familiarity with frameworks like pySpark and DBT. Experience deploying data pipelines in cloud environments such as Azure, AWS, or GCP is essential, along with knowledge of data warehousing concepts and dimensional modeling.

Skills

Python SQL pySpark DBT AWS Azure GCP BigQuery Epic data model data warehousing dimensional modeling ETL ELT CI/CD Kubernetes Docker Prometheus Grafana Git Jenkins

What you'll do

Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.
Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.
Establish and enforce data quality standards, governance frameworks, and security policies for data storage and access.
Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.
Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models.

What we're looking for

5+ years of data engineering experience with a focus on ETL/ELT pipelines.
Proficient in Python for ETL and SQL for complex query development.
Experience deploying data pipelines in cloud environments (AWS, Azure, GCP).
Strong understanding of data warehousing concepts and dimensional modeling.
Ability to establish and enforce data quality standards and governance frameworks.
Excellent communication skills with experience mentoring junior engineers.

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