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 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
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00This 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.
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.
Skills Required
- 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 collaborate across teams
- Strong communication skills, including explaining technical concepts to non-technical stakeholders
- Bachelor's degree in computer science, engineering, or related field (or equivalent work experience)
- 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
CVS Health Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CVS Health and has not been reviewed or approved by CVS Health.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive for benefits-eligible colleagues, including medical, dental, and vision with free preventive care and access to virtual care and select no-cost MinuteClinic services. Mental health support is also highlighted with no-cost confidential counseling sessions per issue.
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Retirement Support — Retirement benefits include a 401(k) with a dollar-for-dollar match up to 5% after meeting service and hours requirements. Ownership programs are also offered through an employee stock purchase plan with a stated purchase discount.
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Pay Growth & Progression — A companywide minimum wage floor establishes a baseline that is framed as a positive starting point in some roles and markets. Unionized or high-cost areas are described as having clearer wage scales and step-ups that can materially lift pay over time.
CVS Health Insights
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
