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 Data Engineer to develop and manage large-scale data structures and ETL workflows for complex business problems. This role involves building efficient data pipelines and supporting various applications through the software development lifecycle using CI/CD tools like Jenkins and Git. The ideal candidate will have experience with Java, Python, or R, Agile methodologies, JIRA, Rally, Confluence, Hadoop, MySQL, SAS, SQL, Spark, PySpark, Scala, and cloud environments such as GCP, AWS, or Azure. Additionally, the position requires expertise in designing data architectures, including distributed computing engines and machine learning infrastructure, and deploying predictive models in a cloud setting.

What you'll do

  • Develop and manage large-scale data structures and ETL workflows.
  • Build efficient data pipelines using Hadoop, Spark, and PySpark.
  • Design data architectures for distributed computing engines and machine learning.
  • Implement predictive models and ML systems in cloud environments like GCP.
  • Participate in the software development lifecycle (SDLC) and Agile methodologies.
  • Utilize JIRA or Rally for project management and task tracking.

What we're looking for

  • Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field.
  • Six months of experience in software development lifecycle (SDLC) and CI/CD tools like Jenkins, GIT.
  • Proficiency in Java, Python, R, and Agile methodologies such as SAFe Software Development Principles.
  • Experience with JIRA, Rally, Confluence, Hadoop, MySQL, SAS, SQL, Spark, PySpark, Scala.
  • Expertise in designing data architectures including ETL processes and machine learning infrastructure.
  • Ability to develop and deploy predictive models or ML systems in cloud environments (GCP, AWS, Azure).

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