Senior Data Engineer

CVS Health

Remote Hybrid

Quick summary

Work type: Remote
Location: Irving, TX
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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Caremark LLC, a CVS Health company, is seeking a Senior Data Engineer in Irving, TX to analyze and solve complex data engineering problems by developing and managing large-scale data structures and pipelines. This role involves building efficient ETL workflows using Spark, PySpark, and Databricks on platforms like AWS or Azure, while also leveraging tools such as Airflow, Kafka, HBase, Pig, MySQL, and NoSQL. The ideal candidate will have extensive experience in Java, Python, R, and creating modular design documents for data scientist programs. With a background in Computer Science or related field and five years of relevant industry experience, the Senior Data Engineer will support business applications by developing scalable spark programs to address intricate business challenges.

Skills

Java Python R Spark PySpark Databricks Spark SQL AWS Azure GCP Airflow Kafka Hbase Pig MySQL NoSQL Putty Pycharm

What you'll do

Analyze complex data engineering problems to develop scalable solutions.
Build and manage large-scale data structures and pipelines using Spark, PySpark, Databricks.
Design and implement efficient ETL workflows for business applications.
Create modular design documents for data scientist programs.
Develop spark programs based on modular designs to address specific needs.

What we're looking for

Bachelor’s degree in Computer Science, Business Analytics, or related field required.
5 years of experience with Java, Python, and R programming languages.
5 years working with Spark, PySpark, Databricks, and Spark SQL.
5 years of hands-on experience with Azure, AWS, or GCP cloud platforms.
Expertise in Airflow, Kafka, Hbase, Pig, MySQL, and NoSQL databases.
Proficiency using Putty for secure remote access and PyCharm as an IDE.

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