
10,000+ employees
🏥 Healthcare
đź›’ Retail
📦 Logistics
Healthcare • Retail • Logistics
CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.
🔥 3 minutes ago
⚓ Rhode Island – Remote
đź’µ $54.3k - $145.9k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
đź‘» Ghost score 0%
Where this job comes from
Posted on CVS Health Careers's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

10,000+ employees
🏥 Healthcare
đź›’ Retail
📦 Logistics
Healthcare • Retail • Logistics
CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.
• Own the application and data technology stack in Google Cloud, including architecture, availability, performance, and lifecycle management • Manage Cloud Run services, GKE clusters, Redis databases, BigQuery datasets, Cloud Composer, Cloud Storage, Cloud SQL, Secret Manager, and Artifact Registry • Manage code deployment and release processes • Design, build, and maintain CI/CD pipelines using tools such as Cloud Build and GitHub Actions • Oversee containerization, configuration management, and container image lifecycle management • Design, build, and maintain batch and streaming data pipelines into BigQuery • Develop and manage the BigQuery analytics data layer, datasets, SQL transformations, and reporting models • Implement data quality checks, schema management, lineage, observability, freshness targets, and reliability monitoring • Apply data governance and security controls for sensitive data, access, and retention • Partner with analysts, product owners, and business stakeholders to create reliable datasets and dashboards • Define and manage infrastructure as code and automate provisioning, environment setup, and operational tasks • Implement monitoring, logging, tracing, alerting, service-level tracking, and platform health dashboards • Lead incident response, root cause analysis, post-incident reviews, on-call activities, runbooks, and operating procedures • Manage IAM roles, service accounts, network configuration, secrets, and vulnerability scanning • Plan capacity, autoscaling, backup, and disaster recovery • Collaborate with software engineering, security, and operations teams on requirements and technical solutions • Leverage AI for development and automation and develop AI agents for workflows and operational tasks • Evaluate Google Cloud services and contribute to technical roadmaps and strategic planning • Pursue professional development, training, certifications, and improved engineering practices
• 3+ years of experience in DevOps, site reliability, cloud, platform, or data engineering • Hands-on production experience with Google Cloud Platform, including Cloud Run, GKE, Redis, and BigQuery • Experience building or supporting production data pipelines • Working knowledge of Cloud Run, GKE, Redis, BigQuery, and IAM • Strong understanding of Kubernetes and Docker • Experience with infrastructure as code and CI/CD pipelines • Proficiency in at least one scripting or programming language, such as Python • Strong SQL skills • Experience leveraging AI tools for development and automation • Experience designing and operating data pipelines and ETL/ELT workflows, including orchestration, data modeling, and data quality practices • Strong problem solving, troubleshooting, and decision making skills • Clear written and verbal communication skills • Bachelor's degree in Computer Science, Information Technology, or a related field preferred, or equivalent practical experience • Preferred: Google Cloud certification, GitOps tooling, event-driven architectures, API gateways, Cloud Composer/Airflow, PowerBI, and AI agent development
• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program eligibility
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🔥 43 minutes ago
AWS Data Architect designing cloud-native data solutions for Medicaid and healthcare clients. Defining AWS data architecture, models, metadata governance, and interoperability patterns.
🔥 1 hour ago
Data Engineer building Stardog knowledge graphs and semantic models for RCH Solutions’ life science and healthcare clients. Automating graph delivery with Python, SQL, RDF, and CI/CD.
🔥 1 hour ago
Senior Staff Engineer architecting secure, scalable data platforms and backend services for Thermo Fisher Scientific’s healthcare SaaS solutions. Leading database, cloud, interoperability, and regulated-data architecture.
🇺🇸 United States – Remote
đź’µ $135.8k - $203.8k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
🔥 3 hours ago
Data Architect designing production-ready data models and cloud data platforms for Data Ideology’s analytics consulting clients. Integrating sources and translating business requirements into data warehouse solutions.
🔥 3 hours ago
Data Engineer building Databricks pipelines and analytics for federal agencies. Transforming government data into governed, decision-ready assets using Python, PySpark, and SQL.