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

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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.

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At a glance

TL;DR · Senior Data Engineer

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Aetna Resources, LLC, a CVS Health company, seeks a Senior Data Engineer for its Woonsocket, RI office with telecommuting options available. This role involves designing and implementing large-scale data processing solutions using Spark, PySpark, and Scala to support healthcare or retail operations. The successful candidate will work on Hadoop and Hive projects, manage cloud components such as clusters, containers, storage, and workplace management tools, and collaborate closely with cross-functional teams to solve complex business problems at scale. Ideal candidates possess strong experience in data engineering, distributed systems, and a deep understanding of healthcare or retail industry challenges.

Skills

Spark PySpark Scala Hadoop Hive Kubernetes Docker AWS Azure GCP CI/CD Git Jenkins PostgreSQL MongoDB

What you'll do

Develop and optimize ETL processes using Spark, PySpark, and Scala.
Manage Hadoop and Hive clusters for data processing and storage.
Support healthcare or retail domain-specific data initiatives and projects.
Implement cloud-based solutions including cluster management and containerized services.
Ensure efficient data storage and workplace management in the cloud environment.

What we're looking for

Proficient in Spark, PySpark, and Scala for data processing and analysis.
Experience with Hadoop and Hive for big data storage and querying.
Domain expertise in healthcare or retail industry required.
Strong knowledge of cloud components including cluster management and containerized services.
Skills in cloud storage solutions and workplace management essential.

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