Senior Data Engineer

CVS Health

Closes tomorrow Remote

Quick summary

Work type: Remote
Location: ILARIDTXGA
Salary: $83,430–$222,480 / yr
Posted: 5 days ago
Closes: Jun 29, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k

This role $153k

$67k most similar roles pay here $239k

This role pays less than 68% of similar roles. Most pay $135,000–$202,796 — the shaded band above. At the midpoint, this role pays about $153k versus about $169k 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 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 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 datasets for financial and analytical workloads. In this hands-on role, you will design and implement ETL/ELT data pipelines to ingest, process, and transform large datasets from various sources while optimizing performance through best practices such as partitioning and clustering. You will also establish data quality standards and governance frameworks, develop data models for analytics and machine learning, and collaborate with data scientists and analysts on BI tool integrations. Additionally, you will document processes and mentor junior engineers. The ideal candidate has 5+ years of experience in Python ETL pipelines, SQL query development, and cloud-based deployments using Azure, AWS, or GCP, along with knowledge of data warehousing concepts and dimensional modeling. Experience with healthcare data is a plus.

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 (Azure, AWS, 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 the ability to mentor junior engineers.

Hybrid

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