Staff Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Woonsocket, RI
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $176k
$130k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $139,075–$213,375.

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 · Staff Data Engineer

Caremark LLC, a CVS Health company, seeks a Staff Data Engineer in Woonsocket, RI, to design and manage large-scale data structures and pipelines for business applications. This role involves developing ETL processes, database systems, and tools for real-time and offline analytics, collaborating with the Data Science team to integrate models into automated workflows. The ideal candidate will leverage Hadoop architecture and optimize queries to build efficient data pipelines using Python or Java. Responsibilities include building data marts and models, integrating diverse data sources, ensuring data quality standards, analyzing IT environments, recommending solutions, experimenting with tools, and mentoring junior staff. Required skills encompass relational database concepts, CI/CD practices, proficiency in Python, AWS, Azure, PowerBI, Spark, and HDFS.

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 workflows.
  • Utilize Hadoop architecture and optimize queries to enhance data pipeline efficiency.
  • Build robust data marts and models to support internal customer needs.
  • Integrate data from various sources while ensuring adherence to quality standards.

What we're looking for

  • Master’s degree in Business Administration or related field required
  • 24 months of experience as a Data Engineer or similar role
  • Proficiency in Python, AWS, Azure, and PowerBI
  • Expertise in relational database concepts and CI/CD practices
  • Experience with Spark, HDFS, and data pipeline development
  • Ability to design and optimize large-scale data structures and ETL workflows
  • Mentorship of junior team members in data engineering tasks

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