Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Chicago, IL
Posted
6 days ago
Closes
Jul 6, 2026
Nearby
99+ roles within 25 mi

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

Role Posting Log in to save

CVS Pharmacy, Inc., a CVS Health company, seeks a Data Engineer in Chicago, IL, or remote, to analyze complex data engineering problems and develop large-scale data structures and pipelines for business applications. The role involves building efficient ETL workflows, contributing to data science projects, and designing data models and architectures that support analytical and reporting use cases. Ideal candidates have a Master’s degree in Computer Science or related field and two years of experience with Unix/Shell scripting, Oracle, Teradata, JIRA, Confluence, and healthcare data management processes. They should also be proficient in relational database concepts, ETL processes, and machine learning infrastructure design within the context of large-scale applications development for healthcare organizations.

Skills

Unix Shell scripting Oracle Teradata DB2 JIRA Rally Confluence Relational database concepts ETL processes Data modeling Distributed computing engines Machine learning infrastructure design Healthcare data management standards Data privacy techniques

What you'll do

  • Develop and manage large-scale data structures and pipelines for complex business problems.
  • Design efficient ETL workflows to support business applications and analytics projects.
  • Write code scripts and deploy them to production environments for data processing.
  • Contribute to the development of large-scale applications in data science or analytics.
  • Create data models and solutions tailored for analytical and reporting purposes.
  • Design comprehensive data architectures, including distributed computing engines and ML infrastructure.
  • Manage healthcare data with standards, ensuring interoperability and compliance with privacy regulations.

What we're looking for

  • Master’s degree in Computer Science or related field required.
  • 2 years of experience with Unix/Shell scripting and relational database concepts.
  • 2 years of experience with Oracle, Teradata, or DB2 databases.
  • Experience contributing to large-scale data science projects.
  • Expertise in ETL processes and designing data models for analytics.

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