Senior Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
Posted: 6 days ago
Closes: Jul 6, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $172k

$129k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $137,350–$207,054.

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

Role Posting Log in to save

We are seeking a Data Engineer with at least one year of experience in designing, building, and managing large-scale data structures and pipelines to support business applications. This role involves creating efficient Extract/Transform/Load (ETL) workflows and working within the software development lifecycle to process vast amounts of structured and unstructured data. The ideal candidate will have a Master’s degree in Management Information Systems, Computer Science, Data Science, Statistics, Analytics, or a related field and proficiency in Python, SQL, databases, and building scalable data pipelines. This position requires expertise in handling big data challenges and automating complex ETL processes to ensure seamless integration of diverse datasets into business intelligence systems.

Skills

Python SQL Databases CI/CD

What you'll do

Design and build scalable data structures and pipelines.
Manage efficient ETL workflows for business applications.
Process large volumes of structured and unstructured data.
Write complex SQL queries and manage databases effectively.
Develop software solutions following the software development lifecycle.
Automate data extraction, transformation, and loading processes.

What we're looking for

Master’s degree in Management Information Systems, Computer Science, Data Science, Statistics, or Analytics.
One year of experience in Python and SQL programming.
One year of experience in database management and software development lifecycle.
Experience building data pipelines for large volumes of structured and unstructured data.
Proficient in writing Extract/Transform/Load (ETL) processes.

Save