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

Market check

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.

Most-posted roles

View all roles at CVS Health

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, to develop large-scale data structures and pipelines that organize and standardize data for insights and reporting needs. This role involves collaborating with the data science team to integrate algorithms into automated processes, building data marts and models, and ensuring data quality across various sources. The ideal candidate will have expertise in cloud migration technologies like Azure or AWS, messaging platforms such as Kafka, containerization runtimes, and AI solutions including Generative AI and AutoML. They should be proficient in Python, Java, SQL, BTEQ, SAS, and Hadoop architecture, designing efficient ETL workflows and data processing frameworks to support analytics and reporting use cases. The position requires a Master’s degree in Computer Science or related field and two years of relevant experience, with a focus on establishing robust data architectures and governance processes.

Skills

AWS Azure GCP Kafka Python Java Hadoop Spark SQL BTEQ SAS CI/CD MLOps Data Governance ETL Docker Kubernetes Terraform Git

What you'll do

Design and build large-scale data structures and ETL workflows for efficient data processing.
Integrate diverse data sources while adhering to quality and accessibility standards.
Collaborate with the data science team to automate algorithms and models into processes.
Build high-performance data processing frameworks using cloud platforms like Azure or GCP.
Analyze IT environments to recommend solutions for critical capabilities and data management.
Support new data source onboarding by profiling, discovering, and mapping data sources.

What we're looking for

Master’s degree in Computer Science or related field with 2+ years of experience
Experience with cloud migration technologies (Azure, AWS, GCP)
Expertise in messaging platforms like Kafka and containerization runtimes
Proven ability to design and deliver complex solution architectures
Hands-on experience building PoVs and MVPs using AI/ML tools
Guidance on LLM selection and implementation of MVPs
Conduct data quality assessments and define Data Governance processes

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