[Remote] Staff Data Engineer

Note: The job is a remote job and is open to candidates in USA. CVS Health is committed to building a connected, convenient, and compassionate health experience. The Staff Data Engineer will lead the development of critical data self-service platforms and architect scalable data pipelines, transforming how healthcare data is managed and accessed.ResponsibilitiesArchitect Petabyte Pipelines: Engineer scalable, reliable, and performant data pipelines to assemble large and intricate datasets using SQL, DBT, and Snowflake, ensuring high data availability and integrityBuild Data Platforms: Independently design and maintain internal React (TypeScript) interfaces and Python backend services that automate data ingestion and discovery, reducing lead times for application teams from weeks to minutesDevelop Data APIs: Build and maintain production-grade REST and gRPC APIs that serve as the high-performance interface between our Snowflake data layer and downstream consumer touchpointsModernize Data Operations: Implement a GitOps model for data using GitHub Actions and Argo/Kargo, integrating standardized logging, alerting, and automated observability into the heart of all data productsInnovate with AI: Leverage Cursor AI, MCPs, and other AI tooling to accelerate the data engineering SDLC, from optimizing complex SQL queries to automating schema migrationsCollaborate and Lead: Communicate with business leaders to translate complex data requirements into functional specifications while mentoring other engineers in modern data architecture and software best practicesData Architecture: Design and optimize high-volume ETL/ELT pipelines using SQL, DBT, and Snowflake, ensuring data is modeled for both analytical and operational use casesInternal Tooling (Full Stack): Develop and maintain internal-facing web applications using React that allow data owners to interact with, monitor, and configure their data pipelinesAPI Development: Architect and implement REST and gRPC APIs in Python that serve as the interface between our Snowflake data layer and downstream consumer applicationsCI/CD & GitOps: Own the deployment lifecycle of data services and tools using GitHub Actions for CI and Argo/Kargo for continuous delivery and lifecycle managementSelf-Service Platforms: Build "Data-as-a-Service" features, such as automated UI-driven ingestion workflows, reducing the reliance on manual data engineering ticketsAI Integration: Utilize modern AI development tools (e.g., Claude AI) to accelerate the development of both data pipelines and management interfacesSkills7+ years of experience in Data Engineering with a heavy focus on Python as the primary scripting and backend language7+ years of experience with SQL and cloud data warehouses (e.g Snowflake, AWS, GCP, etc.)7+ years of experience building high-volume ETL/ELT pipelines and data modelingBachelor's Degree in Computer Science, Data Engineering, or a related technical field5+ years of experience with DBT (Data Build Tools)5+ years of experience building frontend applications with React and designing RESTful APIs5+ years of experience with GitHub Actions and GitOps-based deployment tools (e.g., Argo or Kargo)Big Data Architecture: High-level understanding of big data design patterns, including Data Lake, Data Mesh, and Iceberg, along with data normalization strategiesGitOps & Deployment: Demonstrated experience with Argo/Kargo for Kubernetes-based deployments and advanced GitHub Actions for workflow automationMessaging & Streaming: Experience with message queuing technologies such as Kafka, SNS, or RabbitMQ to support real-time data movementAI-Enhanced Development: Proficiency in working with Cursor AI, GitHub CoPilot, or similar AI-driven environments to accelerate engineering cyclesObservability: Strong experience with metrics, logging, monitoring, and alerting tools to ensure production system reliabilitySoftware Fundamentals: Strong grasp of data structures, algorithms, async programming patterns, and parallel programmingHealthcare Domain: High-level understanding of HL7 V2.x or FHIR based interface messagesBenefitsThis position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.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.Company OverviewCVS Health is a health solutions company that provides an integrated healthcare services to its members. It was founded in 1963, and is headquartered in Woonsocket, Rhode Island, USA, with a workforce of 10001+ employees. Its website is https://www.cvshealth.com/.Company H1B SponsorshipCVS Health has a track record of offering H1B sponsorships, with 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.