Senior Manager, Data Engineering

CVS Health

Remote

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $182k
$133k most similar roles pay here $229k

This listing doesn't post a salary. Most similar roles pay $149,225–$214,575.

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 Manager, Data Engineering

The Manager of Data Engineering will lead IT projects focused on enhancing data engineering and analytics within a healthcare organization, collaborating with business and technical teams to improve patient outcomes, reduce costs, and increase efficiency. This role involves managing project execution to meet budget and schedule goals while enabling strategic decision-making through the development of Tableau dashboards and rigorous data analysis using Python, SAS, SQL, and other tools. The manager will also ensure high-quality data stewardship by integrating multiple data sources into an enterprise data warehouse, conducting ETL processes, and mentoring junior team members. Key technologies include Docker, Kubernetes, JIRA, PowerBI/Tableau, Google Cloud Dataflow, BigQuery, and Splunk, among others, with a focus on healthcare data such as pharmacy and medical claims analysis.

What you'll do

  • Manage project execution to ensure adherence to budget, schedule, and scope.
  • Translate business needs into analytic questions using Python, SAS, and SQL.
  • Design Tableau dashboards to track milestones and deliverables for projects.
  • Conduct rigorous analyses of pharmacy claims, medical claims, and other data.
  • Ensure high levels of data quality in enterprise data warehouse and source systems.
  • Test integration of multiple data sources into the data warehouse and remedy deficiencies.

What we're looking for

  • Extensive experience in managing IT projects related to data engineering and analytics.
  • Proficiency in Python, SAS, SQL, and Tableau for developing dashboards and conducting analyses.
  • Expertise in data modeling, ETL processes, and integrating multiple data sources into a data warehouse.
  • Strong skills in data stewardship, ensuring high levels of data quality and usage across enterprise systems.
  • Experience with Docker, Kubernetes, JIRA, PowerBI/Tableau, and cloud platforms like Dataflow and BigQuery.
  • Ability to mentor junior team members and collaborate effectively with business, operations, and IT teams.

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