Fullstack Developer

Role & responsibilities

Job Summary:

Backends

We are building data-centric applications on Databricks Apps that combine interactive React UIs with Python 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.

Responsibilities:

• Develop interactive, user-friendly React frontends inside Databricks Apps.
• Build and maintain Python backends using FastAPI/Flask, integrated with Databricks SQL

endpoints.

• Write secure, parameterized queries against Delta Lake tables via Unity Catalog.
• Design and expose REST APIs that serve curated data and support interactive UI workflows.
• Collaborate with Databricks engineers to connect front-end workflows with data pipelines.
• Implement authentication and authorization flows (SSO, OAuth, token management).
• 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.

Required Skills

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.
• Unity Catalog for governance and secure data access.

Full-Stack Developer (React + Python + Databricks SQL)

• 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.
• Awareness of cloud IAM, networking, and secrets management.

Preferred / Nice to Have

• Exposure to PySpark for advanced transformations.
• Knowledge of healthcare or data compliance domains (HIPAA/PHI).
• Experience with observability tools (Dynatrace, Datadog, Prometheus, ELK, Open Telemetry).