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 $170k
$129k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $137,125–$203,650.

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

Caremark LLC, a CVS Health company, seeks a Senior Manager of Data Engineering in Woonsocket, RI, to lead and manage IT projects focused on data engineering and analytics. This role involves collaborating with business and technical partners across the enterprise to develop innovative programs that enhance patient outcomes, reduce costs, and improve efficiency. Day-to-day responsibilities include managing project execution, translating business needs into analytic questions using Python, SAS, and SQL, and developing Tableau dashboards for strategic decision-making. The candidate will also design rigorous analyses of pharmacy and medical claims data, mentor junior team members, and ensure high levels of data quality in the enterprise data warehouse. Key technologies include IBM Relational Database, Mainframe COBOL, Microsoft SQL Server, Salesforce Administration, Java, and SAFe Agile Methodology.

What you'll do

  • Manage IT project execution for data engineering and analytics to meet budget, schedule, and scope.
  • Develop innovative programs using Python, SAS, SQL, and Tableau to improve patient outcomes and efficiency.
  • Conduct rigorous analyses of pharmacy claims, medical claims, and other data to inform strategic decisions.
  • Ensure high levels of data quality in enterprise data warehouses through stewardship and remediation efforts.
  • Collaborate with Business, Operations, and IT teams to understand requirements and research data anomalies.

What we're looking for

  • 5+ years of progressive experience in data engineering or related IT field
  • Expertise in IBM Relational Database, Microsoft SQL Server, and Salesforce Administration
  • Proficiency in programming languages such as Python, SAS, and SQL
  • Experience with SAFe Agile Methodology for project management
  • Strong skills in data modeling, analysis, and stewardship
  • Ability to translate business needs into analytic questions and develop Tableau dashboards

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