React & Python Developer (React + Python Backend (Flask/Fast API)

Summary

We are building data-centric applications on Databricks Apps that combine interactive React UIs with Python backends powered by Databricks SQL and Delta Lake.
We are looking for a Full-Stack Developer who can design and deliver modern, scalable applications that integrate seamlessly with the Databricks Lakehouse platform. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) & Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to application development & demo and does not include handling or processing of sensitive health information.

Your role in our mission

•    Develop interactive, user-friendly React frontends inside Databricks Apps.
•    Build and maintain Python backends using FastAPI/Flask, integrated with Databricks SQL endpoints.
•    Write parameterized queries against Delta Lake tables via Unity Catalog.
•    Design and expose REST APIs and support interactive UI workflows.
•    Collaborate with Databricks engineers to connect front-end workflows with data pipelines.
•    Work with CI/CD pipelines (GitHub Actions/Azure DevOps) to deploy applications across DEV/QA/PROD.
•    Optimize for performance, scalability, and cost efficiency in Databricks.

What we're looking for

• Frontend (React):
  •    Strong React expertise (Hooks, Context API, state management).
  •    UI frameworks (TailwindCSS, Material Ui etc.).
  •    Data visualization libraries (Recharts, D3, Plotly).
  •    API integration (async data handling).
  Backend (Python + Databricks):
  •    Strong Python development with FastAPI/Flask.
  •    Experience writing APIs that query Databricks SQL endpoints.
  •    Proficiency in SQL, parameterized queries, and performance tuning.
  •    Experience integrating with Databricks REST APIs/SDKs (jobs, clusters, secrets, Unity Catalog).

  Databricks Integration:
  •    Understanding of Delta Lake.
  •    Familiarity with Databricks Apps SDK, lifecycle, and deployment.
  DevOps / CI/CD:
  •    GitHub Actions, Azure DevOps, or similar CI/CD pipelines.
  •    Docker knowledge for packaging backend services.
  Preferred / Nice to Have
  •    Exposure to PySpark for advanced transformations.
  •    PHExperience with observability tools (Dynatrace, Datadog, Prometheus, ELK, Open Telemetry)
  •    Agile experience.

What you should expect in this role

Remote Opportunity