Principal Data Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Hartford, CT
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 $173k

$127k most similar roles pay here $220k

This listing doesn't post a salary. Most similar roles pay $135,750–$211,200.

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 · Principal Data Engineer

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Caremark, LLC., a CVS Health company, seeks a Principal Data Engineer in Hartford, CT, or remote, to lead the development and maintenance of cloud-native software applications supporting internal users and end customers. This role involves participating in all stages of the software lifecycle, from design through production operations, including API integration, real-time scaling, and ETL process writing. The ideal candidate will develop large-scale data structures and pipelines using Python, Java, or Node.js, and collaborate with Data Science teams to integrate algorithms into automated processes. Key responsibilities include leveraging Hadoop architecture for data pipeline construction, building robust systems with Docker or Kubernetes, and ensuring adherence to data quality standards while mentoring junior engineers. The position requires expertise in big data technologies like Spark, Kafka, and Airflow, as well as experience managing products within a large organization with multiple internal partners.

Skills

Python Java Node.js Angular React Docker Kubernetes Hadoop Hive Spark Airflow MySQL Unix Linux Shell scripting Big Data CI/CD

What you'll do

Develop and maintain cloud-native software applications for CVS business needs.
Design and implement large-scale data structures and pipelines for data standardization.
Write ETL processes and develop tools for real-time and offline analytic processing.
Collaborate with Data Science team to integrate algorithms into automated processes.
Build robust data pipelines using Python, Java, or similar languages.
Mentor junior Cloud Engineers in cloud-native application development practices.
Analyze IT environments to identify critical capabilities and recommend solutions.

What we're looking for

5+ years of experience in cloud-native application development and web development
Proficiency in Python, Java, or similar languages for building robust data pipelines
Expertise in Hadoop architecture, Spark, and big data implementation
Experience with ETL processes, database design, and real-time analytics tools
Ability to collaborate with Data Science teams on model integration and automation
Knowledge of Docker/Kubernetes, Unix/Linux, and shell scripting for deployment
Strong skills in product management within a large, matrixed organization

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