Cvs Shared Services Resources LLC

Cvs Shared Services Resources LLC

Staff Data Engineer

Work at Home, Texas, United States · Staff+ · Full-time

Sponsorship not specified$107k-$284kDetected 83 days ago
TypeScriptPythonReactBackend DevelopmentFull-Stack DevelopmentData StructuresAlgorithmsGitSQLSnowflakeAWSGCPKubernetesCI/CDGitHub ActionsAPI DevelopmentRESTgRPCKafkaRabbitMQdbtData EngineeringHL7/FHIRMentoring

About the role

  • At CVS Health, we possess an extensive repository of healthcare data spanning over 150 million individuals, providing an unparalleled foundation for ambitious engineers.
  • In this high-impact, high-autonomy role, you will be a technical innovator and visionary, leading the evolution of our data infrastructure.
  • As a Staff Data Engineer, you will: 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.

Responsibilities

  • Data Architecture: Design and optimize high-volume ETL/ELT pipelines using SQL, DBT, and Snowflake, ensuring data is modeled for both analytical and operational use cases.
  • Internal Tooling (Full Stack): Develop and maintain internal-facing web applications using React that allow data owners to interact with, monitor, and configure their data pipelines.
  • API Development: Architect and implement REST and gRPC APIs in Python that serve as the interface between our Snowflake data layer and downstream consumer applications.
  • CI/CD & GitOps: Own the deployment lifecycle of data services and tools using GitHub Actions for CI and Argo/Kargo for continuous delivery and lifecycle management.
  • Self-Service Platforms: Build "Data-as-a-Service" features, such as automated UI-driven ingestion workflows, reducing the reliance on manual data engineering tickets.
  • 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.
  • 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.
  • 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.
  • Design and optimize high-volume ETL/ELT pipelines using SQL, DBT, and Snowflake, ensuring data is modeled for both analytical and operational use cases.
  • Develop and maintain internal-facing web applications using React that allow data owners to interact with, monitor, and configure their data pipelines.

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.
  • Demonstrated experience with Argo/Kargo for Kubernetes-based deployments and advanced GitHub Actions for workflow automation.
  • Experience with message queuing technologies such as Kafka, SNS, or RabbitMQ to support real-time data movement.
  • Proficiency in working with Cursor AI, GitHub CoPilot, or similar AI-driven environments to accelerate engineering cycles.
  • Strong experience with metrics, logging, monitoring, and alerting tools to ensure production system reliability.

Nice to have

  • 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).
  • 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.

Compensation

  • $106,605.00 - $284,280.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls.
  • The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors.
  • This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
  • Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Benefits

  • We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience.
  • At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do.
  • Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
  • Position Summary If you're eager to make a real impact in the healthcare industry through your own meaningful contributions, join us as we pave the way for technical innovation.
  • 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.
  • Additional details about available benefits are provided during the
  • application process and on Benefits Moments.

Company info

  • our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people.
  • They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
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