Position Summary
We seek a highly skilled Senior Cloud Engineer to join our Medicare Member Experience (MX) data science team. In this role, you will build and maintain the cloud infrastructure, data pipelines, and deployment workflows that turn our team's machine learning models into reliable, production-grade services that support STARS ratings. You will work across three key areas: cloud data engineering on Google Cloud Platform, backend API development, and DevOps/container orchestration. You will collaborate with data scientists, product owners, and business stakeholders to deliver scalable, well-architected solutions that move insights from development to production.
Required Qualifications
- 4+ years of industry experience in cloud engineering, data engineering, or platform engineering
- Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
- Experience building and deploying backend APIs and cloud-native services
- Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
- Proficiency in Python for data processing, orchestration, or backend services
- Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
- Experience building and operating data pipelines and ETL/ELT workflows in a production environment
- Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
- Understanding of infrastructure-as-code, cloud reliability, and production incident response
- Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns
- Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
- Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
- Bachelor's degree in computer science, engineering, or related field
Preferred Qualifications
- Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)
- Practical MLOps experience, including model serving, monitoring, and retraining workflows
- Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow)
- Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns
- Familiarity with healthcare or insurance data ecosystems, or other regulated environments
- Experience improving platform reliability through observability, documentation, and operational playbooks
- Experience optimizing cloud infrastructure for cost, performance, and resiliency
- Experience building internal tools or product-facing analytics applications
- Advanced degree in computer science, engineering, or related field
Education
- Bachelor's Degree or equivalent work experience required
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00
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.
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.
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 .
We anticipate the application window for this opening will close on: 07/08/2026
