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 the option for telecommuting. This role involves developing and managing large-scale data structures and pipelines, focusing on efficient ETL workflows to solve complex business problems within healthcare or retail organizations. The ideal candidate will have extensive experience with technologies such as Spark, PySpark, Scala, Hadoop, and Hive, along with a strong background in data warehousing and analysis of large datasets. With a Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or related field, the successful applicant will contribute to addressing intricate business challenges through robust data solutions at scale.

Skills

Python Scala Spark Hadoop Hive DataWarehousing ETL SQL AWS Kubernetes CI/CD

What you'll do

Develop and manage large-scale data structures and pipelines using Hadoop, Hive, and Spark.
Build efficient ETL workflows for complex business problems in healthcare or retail domains.
Analyze large datasets from health care, business, or retail organizations to support decision-making.
Utilize PySpark or Scala for processing big data and implementing advanced analytics solutions.
Ensure data integrity and performance optimization across various data warehousing systems.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Engineering, or related field required.
Five years of progressive experience in data engineering, analysis, and ETL workflows for large datasets.
Proficiency in Spark, PySpark, Scala, Hadoop, and Hive for big data processing.
Experience with data warehousing solutions and practices.
Domain expertise in healthcare or retail industry preferred.