GeneDx

Senior Data Applications Engineer

GeneDx

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $153,000 - $191,000 per year

Job Level

Senior

Tech Stack

CloudDockerKubernetesPythonReactTerraform

About the role

  • Build and maintain data-driven React applications using a python backend and embedded BI solutions (Sigma)
  • Develop web interfaces and tools that consume and display data from our enterprise data warehouse
  • Implement and integrate BI tools and embedded analytics
  • Work with structured and semi-structured data to deliver performant, reliable solutions
  • Build data models in a Snowflake data warehouse as needed
  • Partner with Data Engineering and Product teams to support workflows across commercial data application, clinical operations, lab logistics, and commercial analytics
  • Apply best practices in code quality, testing, performance optimization, and secure design
  • Contribute ideas to improve usability, scalability, and maintainability of internal apps
  • Collaborate effectively in a cross-functional, remote-first environment
  • Use infrastructure-as-code (Terraform) to provision and manage cloud environments
  • Develop and deploy within containerized environments (Docker, Kubernetes)

Requirements

  • Build and maintain data-driven React applications using a python backend and embedded BI solutions (Sigma)
  • Develop web interfaces and tools that consume and display data from our enterprise data warehouse
  • Implement and integrate BI tools and embedded analytics
  • Work with structured and semi-structured data to deliver performant, reliable solutions
  • Building data models in a Snowflake data warehouse as needed
  • Partner with Data Engineering and Product teams to support workflows across commercial data application, clinical operations, lab logistics, and commercial analytics
  • Apply best practices in code quality, testing, performance optimization, and secure design
  • Contribute ideas to improve usability, scalability, and maintainability of internal apps
  • Collaborate effectively in a cross-functional, remote-first environment
  • Use infrastructure-as-code (Terraform) to provision and manage cloud environments
  • Develop and deploy within containerized environments (Docker, Kubernetes)