Senior Manager, Data Engineering

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 $182k
$139k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $149,962–$214,800.

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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View all roles at CVS Health

At a glance

TL;DR · Senior Manager, Data Engineering

The Manager of Data Engineering role involves developing and managing large-scale data structures and ETL workflows within a complex business environment, supporting strategic initiatives through efficient data solutions. This senior-level position requires extensive experience in cloud migration, budget management, risk assessment, and regulatory compliance, alongside expertise in enterprise CRM implementation and agile project management. The ideal candidate will possess a Master’s degree in Data Science, Statistics, Mathematics, or related fields, with hands-on experience using tools like AWS, Azure, or GCP for data ingestion and transformation. This role demands strong leadership skills to manage teams effectively while enhancing business and IT processes within a large, matrixed organization.

What you'll do

  • Develop and manage large-scale data structures and ETL workflows.
  • Build efficient data pipelines to address complex business problems.
  • Oversee cloud migration and data ingestion processes.
  • Manage budgets and ensure regulatory compliance in projects.
  • Enhance business and IT processes through strategic delivery.

What we're looking for

  • Master’s degree in Data Science, Statistics, Mathematics, or related field required.
  • Three years of experience in data engineering or a related occupation.
  • Experience with cloud migration and data ingestion processes.
  • Proficiency in managing budgets and portfolios within an enterprise setting.
  • Strong background in regulatory compliance and risk management.
  • Ability to lead teams and manage people effectively.
  • Expertise in developing efficient ETL workflows for complex problems.

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