Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Irving, TX
Posted
6 days ago
Closes
Jul 6, 2026

Market check

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 407 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 133 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Data Engineer

Caremark LLC, a CVS Health company, is seeking a mid-level Data Engineer to join their team in Irving, TX. This role involves designing, building, and managing large-scale data structures and pipelines while ensuring efficient ETL workflows for various business applications. Day-to-day responsibilities include working with Google Cloud Platform (GCP), Hadoop, Hive, BigQuery, Python, MySQL, SQL, Spark, PySpark, and Airflow to develop and deploy application code in production environments. The ideal candidate will have experience in relational database concepts, ETL processes, data analytics on large datasets, and Agile methodologies within the healthcare, business, or retail sector.

What you'll do

  • Design and build scalable data structures and pipelines using Hadoop, Hive, and Spark.
  • Develop efficient ETL workflows to support business applications in the healthcare sector.
  • Write application code and deploy it to production environments on Google Cloud Platform.
  • Manage large-scale data analytics projects involving complex datasets in healthcare or retail.
  • Utilize tools like JIRA, Rally, Confluence for project management and documentation.

What we're looking for

  • Requires 2+ years of experience with GIT, DB2, JIRA, Rally, Confluence.
  • Must have expertise in Agile methodologies, Google Cloud Platform (GCP).
  • Proficiency in Hadoop, Hive, BigQuery, GCS, Python, MySQL, SQL, HDFS.
  • Experience with Spark, PySpark, Airflow for data processing and workflow.
  • Strong background in writing application code and deploying to production.

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