Data Engineer

CVS Health

Remote

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 $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 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 · Data Engineer

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Caremark LLC., a CVS Health company, seeks a Data Engineer in Irving, TX to develop and manage large-scale data structures and ETL workflows for complex business problems. This role involves working within the Software Development Life Cycle (SDLC) to analyze healthcare industry data using Java, Python, or R. The ideal candidate will have experience with Hadoop, Hive, Spark, PySpark, Scala, and traditional relational data warehouse technologies like Oracle, Teradata, or DB2. Additionally, proficiency in BI tools such as MicroStrategy or Tableau is required, along with knowledge of infrastructure components including GPUs and CPUs. This position offers the opportunity to provide domain support for healthcare and retail pharmacy operations at a large scale.

Skills

Python Java R Hadoop Hive Spark PySpark Scala MicroStrategy Tableau Oracle Teradata DB2 GPU CPU SDLC CI/CD

What you'll do

Develop and manage large-scale data structures and pipelines using Hadoop, Hive, and Spark.
Build efficient ETL workflows to address complex business problems in the healthcare industry.
Utilize Java, Python, or R for software development related to health care products and systems.
Provide domain support for healthcare or retail pharmacy organizations through advanced analytics.
Work with traditional relational data warehouse technologies like Oracle, Teradata, or DB2.

What we're looking for

Master’s degree in Computer Science, Data Science, or related field required.
3 years of experience in data engineering and software development.
Proficiency in Java, Python, R for data analysis and ETL workflows.
Expertise in Hadoop, Hive, Spark, PySpark, and Scala for big data processing.
Experience with data visualization tools like MicroStrategy or Tableau.
Knowledge of traditional relational data warehouse technologies (Oracle, Teradata).
Understanding of healthcare industry data analysis and system support.