Staff Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Blue Bell, PA
Posted
6 days ago
Closes
Jul 6, 2026

Market check

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 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 · Staff Data Engineer

Aetna Resources LLC, a CVS Health company, is seeking a Staff Data Engineer in Blue Bell, PA, with the option for telecommuting. This role involves developing and managing large-scale data structures and ETL workflows to support complex business applications in retail and healthcare industries. The ideal candidate will have five years of experience analyzing large datasets from multiple sources using Java, Python, or R, and working with databases like Oracle, Teradata, or DB2. Familiarity with cloud technologies such as AWS, Azure, or GCP, Hadoop and Hive, SAS, and SQL is essential. The position requires expertise in Agile methodologies, software development best practices, and collaboration on backend services and code reviews to drive technology modernization initiatives.

What you'll do

  • Develop and manage large-scale data structures and ETL workflows for complex business problems.
  • Analyze large datasets from multiple sources using Java, Python, or R in retail/healthcare contexts.
  • Implement cloud technologies like AWS, Azure, or GCP to support scalable data solutions.
  • Utilize Hadoop, Hive, and SQL/SAS for efficient data processing and analytics tasks.
  • Collaborate on software development solutions through code reviews and agile methodologies.

What we're looking for

  • Bachelor’s degree in Computer Science or related field and 5+ years of relevant experience.
  • Experience analyzing large data sets from multiple sources using Java, Python, or R.
  • Proficiency in Agile methodologies, SAFe principles, and cloud technologies (Azure, AWS, GCP).
  • Expertise in Hadoop, Hive, SAS, SQL, and relational database concepts.
  • Development of backend services, code reviews, and collaboration on software solutions.
  • Management of large-scale data structures and ETL workflows for retail or healthcare industries.

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