Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Woonsocket, RI
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $163k
$110k most similar roles pay here $210k

This listing doesn't post a salary. Most similar roles pay $126,800–$199,050.

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.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Engineer

Aetna Resources LLC., a CVS Health company, seeks a senior-level Data Engineer in Woonsocket, RI, with telecommuting options available. This role involves analyzing complex data engineering challenges and developing large-scale data structures and pipelines to support business applications. The ideal candidate will manage ETL workflows using Spark, PySpark, or Scala while leveraging databases like Oracle, Teradata, or DB2. Experience in CI/CD, Jenkins, GIT, Agile methodologies, JIRA, Rally, Confluence, and the end-to-end data science lifecycle is essential. Domain expertise in healthcare or retail is required to address specific business needs at scale.

What you'll do

  • Analyze complex data engineering problems to design scalable solutions.
  • Develop and manage large-scale data structures and pipelines for business applications.
  • Build efficient ETL workflows using Spark, PySpark, or Scala technologies.
  • Implement CI/CD practices with Jenkins, GIT, and other DevOps tools.
  • Support end-to-end data science lifecycle in healthcare or retail domains.

What we're looking for

  • Bachelor’s degree in Computer Science or related field with 5 years of experience.
  • Expertise in CI/CD, Jenkins, GIT, and DevOps methodologies.
  • Proficient in Java, Python, R for programming complex data solutions.
  • Experience with Agile methodologies and SAFe Software Development Principles.
  • Knowledge of JIRA, Rally, Confluence for project management tools.
  • Skilled in databases like Oracle, Teradata, DB2, and data warehousing concepts.
  • Expertise in Spark, PySpark, Scala for big data processing and analytics.

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