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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Senior Data Engineer position available for candidates with a Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Analytics, or related field and at least five years of relevant experience. This role involves managing large-scale data structures and ETL workflows, working extensively with Hadoop and Hive to build robust data warehousing solutions. The ideal candidate will have expertise in handling complex data environments and will be responsible for designing, implementing, and maintaining scalable data pipelines that support business intelligence needs. Familiarity with big data technologies and strong skills in managing large datasets are essential. This position offers the opportunity to work on challenging projects within a dynamic team focused on optimizing data infrastructure at scale.

Skills

Hadoop Hive ETL Data Warehousing CI/CD SQL Python Big Data Cloud Services AWS Google Cloud Platform Docker Kubernetes Terraform Git Jenkins PostgreSQL Snowflake Tableau PowerBI

What you'll do

Design and optimize large-scale data structures using Hadoop and Hive.
Develop and maintain complex ETL (Extract, Transform, Load) workflows.
Implement and manage robust data warehousing solutions.
Analyze big data sets to extract meaningful insights and drive business decisions.
Ensure the scalability and performance of data processing systems.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, Analytics, or related field required.
At least 5 years of progressive experience in data management and analytics roles.
Expertise in Hadoop and Hive for big data processing.
Experience managing large-scale data structures and ETL workflows.
Proficiency in data warehousing solutions and practices.

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