Staff Data Engineer

Job not on LinkedIn

🔥 21 hours ago

🥔 Idaho, Montana, +1 more states – Remote

🥔 Idaho – Remote 🦬 Montana – Remote 🤠 Texas – Remote

💵 $106.6k - $284.3k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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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

• Architect 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 integrity. • Build 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 minutes. • Develop 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 touchpoints. • Modernize 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 products. • Innovate with AI: Leverage Cursor AI, MCPs, and other AI tooling to accelerate the data engineering SDLC, from optimizing complex SQL queries to automating schema migrations. • Collaborate 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 practices.

🎯 Requirements

• 7+ years of experience in Data Engineering with a heavy focus on Python as the primary scripting and backend language. • 7+ 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 modeling. • 5+ years of experience with DBT (Data Build Tools). • 5+ years of experience building frontend applications with React and designing RESTful APIs. • 5+ 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 strategies. • GitOps & Deployment: Demonstrated experience with Argo/Kargo for Kubernetes-based deployments and advanced GitHub Actions for workflow automation. • Messaging & Streaming: Experience with message queuing technologies such as Kafka, SNS, or RabbitMQ to support real-time data movement. • AI-Enhanced Development: Proficiency in working with Cursor AI, GitHub CoPilot, or similar AI-driven environments to accelerate engineering cycles. • Observability: Strong experience with metrics, logging, monitoring, and alerting tools to ensure production system reliability. • Software Fundamentals: Strong grasp of data structures, algorithms, async programming patterns, and parallel programming. • Healthcare Domain: High-level understanding of HL7 V2.x or FHIR based interface messages.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs