Databricks Full Stack Engineer

Quick Facts

• Role: Databricks Full Stack Engineer

• Work mode: Remote

• Contract: 12 months (possible extension)

Description

Design and build end-to-end data and AI applications using Databricks-native functionality, delivering production-grade solutions across the data layer, application layer, and user experience. Collaborate with clients and product, data engineering, and AI/ML teams to translate business needs into secure, scalable applications. Explain technical designs and trade-offs clearly to both technical and non-technical stakeholders.

Responsibilities

• Build end-to-end data and AI applications on Databricks-native capabilities (Lakehouse components and Databricks Apps).

• Translate business context and feature requirements into well-architected application and data-layer designs.

• Execute delivery using an established methodology and support client roadmap planning.

• Communicate designs, assumptions, and trade-offs in non-technical terms.

• Contribute to full project life cycle activities within agile delivery.

Requirements

• 5+ years of experience as a full stack, data, or software engineer with strong Python and SQL.

• 2+ years hands-on Databricks experience including Delta Lake, Unity Catalog, Databricks SQL, and Apache Spark.

• Hands-on experience building and deploying apps on Databricks Apps; working knowledge of Genie and Lakebase (or strong ability to ramp up on Lakebase; PostgreSQL knowledge acceptable).

• Front-end development proficiency (JavaScript/TypeScript, React or similar) and back-end/API development proficiency (FastAPI, Flask or similar).

• 2+ years cloud experience deploying data and application workloads on AWS, Azure, or Google Cloud Platform.

• Hands-on experience with at least one LLM and an orchestration library (LangChain, LangGraph, LlamaIndex, or HuggingFace).

• Strong data modeling and Lakehouse design knowledge, plus ETL/ELT pipeline development experience.

• Experience with CI/CD, Git-based workflows, infrastructure-as-code, and Databricks Asset Bundles.

• Understanding of application security, IAM, and data governance best practices.

• Experience across complete project life cycle activities (development and maintenance) using agile methodologies.

• Strong communication skills, including authoring/editing and presenting technical documentation.

• Bachelor’s degree in computer science, engineering, information systems, or related field.

• Must be open to travel and work at the client site when required.

Benefits

• 12-month contract with possible extension