Staff 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

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Salary context

How this pay compares to similar roles

Similar $176k

$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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.

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At a glance

TL;DR · Staff Data Engineer

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CVS Pharmacy, Inc., is seeking a Staff Data Engineer to join their team in Woonsocket, RI, with the option for telecommuting. This role involves developing and managing large-scale data structures and pipelines, implementing efficient ETL workflows, and addressing complex business problems through predictive models and machine learning systems in cloud environments like GCP or AWS. The ideal candidate will have expertise in CI/CD practices, Hadoop and Hive, MySQL, Tableau, and cloud clustering management. With a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and at least three years of relevant experience, the successful applicant will work on scalable solutions that support critical business applications within a large-scale healthcare organization.

Skills

CI/CD Hadoop Hive MySQL Tableau GCP AWS Clustering management Predictive models ML systems

What you'll do

Develop and manage large-scale data structures and pipelines.
Build efficient ETL workflows for complex business problems.
Use Hadoop, Hive, MySQL, and Tableau in data engineering tasks.
Deploy predictive models or ML systems in cloud environments like GCP or AWS.
Implement CI/CD practices for continuous integration and deployment.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
At least three years of experience developing and managing large-scale data structures and ETL workflows.
Proficiency in CI/CD, Hadoop, Hive, MySQL, Tableau, and cloud components like GCP and AWS.
Experience with clustering management and deploying predictive models or ML systems in a cloud environment.
Strong skills in developing efficient data pipelines to support business applications.