Position SummaryWe 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 RangeThe typical pay range for this role is:
$106,605.00 - $284,280.00
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.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 06/26/2026
