Senior Manager, Data Engineering

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

We are seeking a seasoned data engineering professional to lead our Financial data modeling and data product delivery. Candidates will possess a deep understanding of data architecture and data modeling. They will be responsible for managing a team of data engineers, ensuring timely delivery of projects and providing technical leadership and guidance.  

This role involves collaborating with other engineering teams, financial analysts, and product owners, taking ownership of the team's work, and influencing the technical strategy and architecture of the platform. The position is a blend of leadership and hands-on technical guidance and requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.
 

You will lead a dedicated team creating datasets for analytic and financial workloads.

• Data Pipeline Development: Oversee the design and buildout of ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.

• Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs.

• Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access.

• Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers.

• Design and architect data infrastructure analytical workloads.

Required Qualifications

• 7 years of applicable experience.

• Understanding of data warehousing concepts, dimensional modeling, and building data marts.

• Strong proficiency in SQL and experience in developing complex queries.

• Experience deploying data pipelines in a cloud environment (GCP, AWS, Azure).

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners.

Preferred Qualifications

• Experience working with healthcare data (Epic, Tuva, or OMOP Models a plus).

• Experience with Financial healthcare: claims, membership, etc

• Knowledge of data governance best practices in a cloud environment.

• Experience with machine learning flows on GCP.

• Experience with data design in BigQuery.

Education

• Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.  The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.  This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.  This position also includes an award target in the company’s equity award program. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.