Senior GCP Data Engineer – Patient Safety Measure Engine

Job not on LinkedIn

🔥 1 minute ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $102k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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

• 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

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