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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

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At a glance

TL;DR · Staff Data Engineer

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Caremark LLC, a CVS Health company, seeks a Staff Data Engineer in Woonsocket, RI, with telecommuting options available. This role involves designing and managing large-scale data structures and pipelines, building efficient ETL workflows to support business applications. The ideal candidate will analyze complex datasets from multiple sources, write clean, high-performing code using Python, Hadoop, or Hive, and conduct thorough testing and quality assurance. Experience with SAS or SQL programming languages, statistical analysis, and big data platforms such as Azure, GCP, or AWS is essential. Candidates should hold a Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, Regulatory Affairs, or a related field and have at least one year of relevant experience.

Skills

Python Hadoop Hive SAS SQL Big data Azure GCP AWS Data analysis Statistical analysis Testing Quality assurance Troubleshooting

What you'll do

Design and build large-scale data structures and pipelines for business applications.
Manage efficient ETL workflows using Python, Hadoop, or Hive.
Write high-quality, scalable code for big data platforms like Azure, GCP, AWS.
Perform statistical analysis on large datasets from multiple sources.
Conduct testing, quality assurance, and troubleshooting of data systems.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Information Systems, Regulatory Affairs, or related field required.
One year of experience analyzing large data sets from multiple sources.
Proficiency in Python, Hadoop, Hive, SAS, and SQL programming languages.
Experience writing clean, high-quality, scalable code for testing and troubleshooting.
Expertise in statistical analysis and working with big data platforms like Hadoop on Azure, GCP, or AWS.

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