Senior 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

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Salary context

How this pay compares to similar roles

Similar $172k

$129k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $137,350–$207,054.

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 · Senior Data Engineer

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This senior data engineer role involves working closely with a dynamic team focused on leveraging big data solutions for complex business challenges. The candidate will be responsible for developing and maintaining robust data pipelines using cutting-edge technologies, ensuring seamless integration of diverse datasets from various sources. Daily tasks include writing efficient scripts in Java, Python, or R, managing large-scale data processing with Hadoop, Spark, and Kafka, and conducting unit testing to ensure software quality. Familiarity with version control systems like Git and experience with relational and non-relational databases such as MySQL and NoSQL is essential. The role also requires active participation in product scrum meetings for agile project management.

Skills

Java Python R SAS SQL Hadoop Hive HDFS Airflow Kafka Hbase Pig MySQL NoSQL Spark PySpark Scala Unix Linux Shell scripting Git Big Data Relational Databases Non-Relational Databases Unit Testing Scrum

What you'll do

Develop and maintain software using Java, Python, or R.
Analyze data with SAS or SQL in a Big Data environment.
Implement ETL processes using Hadoop, Hive, and HDFS.
Write unit test cases for developed software to ensure quality.
Participate in product scrum meetings for project management.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or Electronics Engineering required.
Five years of experience with Java, Python, and R programming languages.
Five years working with SAS, SQL, Hadoop, Hive, HDFS, Airflow, Kafka, Hbase, Pig, MySQL, NoSQL, Spark, PySpark, Scala.
Proficient in Unix/Linux shell scripting and version control systems like Git.
Experience with both relational and non-relational databases required.
Expertise in writing unit test cases and performing software unit testing.

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