Data Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Wellesley, MA
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 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 · Data Engineer

Role Posting Log in to save

Aetna Resources, LLC., a CVS Health company, seeks an experienced Data Engineer in Wellesley, MA, to develop large-scale data structures and pipelines for complex problem-solving and business application support. The role involves writing ETL processes, designing database systems, and developing tools for real-time and offline analytics, while collaborating with the Data Science team to integrate algorithms into automated workflows. Key responsibilities include testing and maintaining systems, optimizing queries on Google Cloud Platform (GCP), and building data marts and models to meet internal customer needs. The ideal candidate will have expertise in Python or Java, experience with Spark and BigQuery, and a strong understanding of cloud technologies such as GCP, AWS, and Azure. This position requires analyzing current IT environments to recommend solutions for complex business challenges and experimenting with new tools to enhance data processing capabilities.

Skills

Python Java Spark PySpark Scala Google Cloud Platform BigQuery AWS Azure CI/CD SQL ETL Data Modeling Docker Kubernetes Terraform Git Jenkins

What you'll do

  • Develop large-scale data structures and pipelines for organizing and standardizing complex datasets.
  • Write ETL processes and design database systems to improve existing analytic capabilities.
  • Collaborate with Data Science team to integrate algorithms into automated processes.
  • Test, maintain, and troubleshoot data systems to ensure optimal performance.
  • Design and optimize queries on Google Cloud Platform (GCP) for efficient data pipelines.

What we're looking for

  • Develop large-scale data structures and pipelines using Python, Java, or similar languages
  • Design and optimize ETL processes and database systems for real-time analytics
  • Collaborate with Data Science teams to integrate algorithms into automated workflows
  • Utilize Google Cloud Platform (GCP) architecture for building scalable data solutions
  • Ensure adherence to data quality standards and accessibility across various sources
  • Analyze IT environments to recommend solutions for complex business problems
  • Experiment with cloud technologies like Azure, AWS, or GCP to optimize performance

Related searches

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