Associate Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Woonsocket, RI
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 $172k

$123k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $132,831–$211,200.

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.

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At a glance

TL;DR · Associate Data Engineer

Role Posting Log in to save

CVS Pharmacy, Inc., a CVS Health company, seeks an Associate Data Engineer to develop and manage large-scale data structures and pipelines in Woonsocket, RI. This role involves building efficient ETL workflows to address complex business challenges and support applications. The ideal candidate will have experience with CI/CD tools like Jenkins, version control systems such as Git, and Java programming. Familiarity with Agile methodologies or SAFe principles is essential, along with expertise in Spark, PySpark, Scala, and cloud technologies including AWS, Azure, or GCP. Additionally, the position requires knowledge of relational database concepts, data modeling for analytical use cases, and big data implementation. This role supports CVS Health’s extensive product offerings and addresses critical business needs at scale.

Skills

CI/CD Jenkins GIT Java Agile SAFe Spark PySpark Scala SQL Relational database concepts Data modeling ETL AWS Azure GCP

What you'll do

Develop and manage large-scale data structures and pipelines.
Build efficient ETL workflows to address complex business problems.
Design data models for analytical and reporting use cases.
Implement big data solutions using Spark, PySpark, or Scala.
Write ETL processes to support business applications.
Utilize cloud technologies like AWS, Azure, or GCP in projects.

What we're looking for

Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field.
One year of experience with CI/CD tools like Jenkins and version control systems such as GIT.
Experience in Agile methodologies and SAFe Software Development Principles.
Proficiency in Spark, PySpark, or Scala for big data processing.
Knowledge of software development lifecycle (SDLC) and relational database concepts.
Skills in designing data models and solutions for analytical and reporting use cases.
Expertise in writing ETL processes and working with cloud technologies like AWS, Azure, or GCP.

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