Associate Data Engineer

CVS Health

Closes in 6 days Remote

Quick summary

Work type: Remote
Location: Richardson, TX
Posted: 1 day ago
Closes: Jun 12, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $174k

$124k most similar roles pay here $223k

This listing doesn't post a salary. Most similar roles pay $133,900–$213,868.

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 156 open roles on FindRole.

Listed pay typically runs $118,450–$260,590 across 152 roles with salary data.

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At a glance

TL;DR · Associate Data Engineer

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As an Associate Data Engineer at CVS Health, you will join a dynamic team focused on delivering high-quality data products through robust ETL processes and efficient data pipeline management. Your day-to-day responsibilities include participating in Agile scrum activities, developing tools for data processing using Python and SQL, implementing data quality checks, and collaborating with Tech Leads to ensure successful UAT/Pre-prod testing and deployment. You will also document engineering processes and workflows for knowledge sharing. The role requires hands-on experience with cloud platforms like GCP or AWS, bash shell scripts, UNIX utilities, and a strong understanding of ETL project execution. Preferred qualifications include familiarity with DevOps tools such as Jenkins and Git, as well as an understanding of microservices and SOA in the context of complex data systems.

Skills

Python SQL Bash UNIX GCP AWS Azure Jenkins Git CI/CD Agile API development Data visualization Microservices SOA

What you'll do

Develop robust data pipelines using ETL processes for complex datasets.
Implement data quality checks to ensure accuracy and consistency in data.
Work closely with Tech Leads on UAT/Pre-prod testing and deployment activities.
Document data engineering processes and workflows for knowledge sharing.
Use strong programming skills in Python, SQL, and shell scripts for data processing.

What we're looking for

6 months experience in executing data warehousing ETL projects.
Proficient in Python and SQL for data processing and analysis.
Hands-on experience with bash shell scripts, UNIX utilities, and commands.
Familiarity with a major cloud platform (GCP, AWS, Azure).
Strong collaboration and communication skills within agile teams.

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