Senior 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

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Salary context

How this pay compares to similar roles

Similar $172k

$129k most similar roles pay here $215k

This listing doesn't post a salary. Most similar roles pay $137,350–$207,054.

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 · Senior Data Engineer

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Aetna Resources LLC, a CVS Health company, seeks a Senior Data Engineer in Wellesley, MA, with telecommuting options available. This role involves analyzing data engineering challenges and developing large-scale data structures and pipelines to support complex business applications through efficient ETL workflows. The ideal candidate will have extensive experience with traditional relational data warehouse technologies such as Oracle, Teradata, or DB2, along with proficiency in Docker or Kubernetes, JIRA, Rally, or Confluence, and big data platforms like Azure, GCP, or AWS. Additionally, the position requires expertise in building data and analytics-based platform capabilities, services, or products, making it a critical role within the organization’s technology infrastructure.

Skills

Oracle Teradata DB2 Docker Kubernetes JIRA Rally Confluence Azure GCP AWS Python SQL ETL CI/CD

What you'll do

Analyze complex data engineering problems to design scalable solutions.
Develop and manage large-scale data structures and pipelines using big data platforms.
Build efficient ETL workflows to support business applications and analytics.
Utilize Docker or Kubernetes for containerization and orchestration of services.
Experience with traditional relational data warehouse technologies like Oracle, Teradata.
Create data and analytics-based platform capabilities, services, or products.

What we're looking for

Master’s degree in Computer Science, Information Technology, Electrical Engineering, Business Analytics, or related field required.
At least 2 years of experience with Oracle, Teradata, or DB2 data warehouse technologies.
Proficiency in Docker and Kubernetes for container orchestration.
Experience using JIRA, Rally, or Confluence for project management.
Expertise in Azure, GCP, or AWS big data platforms.
Development of data and analytics-based platform capabilities and services.

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