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

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

Role Posting Log in to save

Caremark LLC, a CVS Health company, seeks an experienced Data Engineer in Irving, TX to design, build, and manage large-scale data structures and pipelines for business applications. The role involves developing ETL processes, database systems, and tools for real-time and offline analytics, collaborating with the Data Science team to integrate algorithms into automated workflows. Utilizing Google Cloud Platform architecture and services, the engineer will optimize queries and leverage programming skills in Python or Java to build robust data solutions. Responsibilities include building data marts and models, integrating diverse data sources, ensuring data quality standards, and recommending IT environment improvements. The ideal candidate has a Bachelor’s degree in Computer Science or related field and five years of relevant experience with technologies such as Hibernate, Oracle, JIRA, Rally, and Confluence.

Skills

Python Java Google Cloud Platform Hibernate Oracle JIRA Rally Confluence ETL CI/CD SQL Docker Kubernetes PostgreSQL AWS Terraform

What you'll do

Design and build large-scale data structures and pipelines for business applications.
Write ETL processes and develop tools for real-time and offline analytic processing.
Collaborate with Data Science team to integrate algorithms into automated processes.
Utilize Google Cloud platform architecture to design and optimize data queries and pipelines.
Build data marts and models to support internal customers’ needs.
Integrate data from various sources while ensuring adherence to quality standards.

What we're looking for

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field required.
5+ years of experience as a data engineer or similar role.
Proficiency in Java, Python, or Node.js for software development.
Experience with Hibernate and Oracle database systems.
Familiarity with JIRA, Rally, Confluence for project management.
Expertise in Google Cloud Platform architecture and services.

Data Engineer

Booz Allen Hamilton

McLean, VA +3 26 days ago $62,000–$141,000

Python Java C++ ETL ELT Spark Databricks Hadoop Hive AWS EMR Kafka UNIX Linux Shell scripting

Save