Senior GCP Data Engineer – Patient Safety Measure Engine

CVS Health

Senior GCP Data Engineer at CVS Health building cloud infrastructure and data pipelines. Collaborating with teams to deliver reliable services for Medicare Patient Safety measures.

Posted 7/23/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $101,970 - $203,940 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud engineering and data engineering, with a strong focus on building scalable cloud infrastructure and data pipelines. Proficient in utilizing Google Cloud Platform services and containerization technologies to deliver production-ready solutions.

Highest-signal resume keywords

Cloud EngineeringData EngineeringGoogle Cloud PlatformPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud InfrastructureData PipelinesBackend API DevelopmentContainerizationOrchestrationETL/ELT WorkflowsCI/CD PipelinesInfrastructure-as-CodeProduction Incident ResponseMeasure Ratings Calculation

Soft Skills

Strong Communication Skills

Tools & Technologies

Google Cloud Platform ServicesBigQueryComposer/AirflowDataprocCloud StorageDockerKubernetesGKEGitHub ActionsJenkins

Industry Keywords

Medicare Patient SafetyCloud-Native ServicesProduction EnvironmentScalable SolutionsData Science Collaboration

Tech Stack

Tools & technologies

AirflowBigQueryCloudDockerETLGoogle Cloud PlatformJenkinsKubernetesPythonSQL

About the role

Key responsibilities & impact

Build and maintain the cloud infrastructure, data pipelines, and deployment workflows
Calculate measure ratings for the med adherence and avoidance measures
Collaborate with data scientists, product owners, and business stakeholders
Deliver scalable, well-architected solutions that move insights from development to production

Requirements

What you’ll need

3+ years of experience on the Medicare Patient Safety domain
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
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)
Understanding of infrastructure-as-code, cloud reliability, and production incident response
Strong communication skills
Bachelor's degree in computer science, engineering, or related field

Benefits

Comp & perks

medical, dental, and vision coverage
paid time off
retirement savings options
wellness programs
other resources, based on eligibility