Jobs → Data & Analytics → Databricks Full Stack Engineer

About the Role We are seeking a Databricks Full Stack Engineer for a contract position. This role requires strong expertise in full stack development with a focus on data engineering and Databricks platform. Key Responsibilities • Design, develop, and deploy full stack applications on the Databricks platform • Implement data solutions using Delta Lake, Unity Catalog, Databricks SQL, and Apache Spark • Build and deploy applications on Databricks Apps and work with Genie and Lakebase • Develop front-end interfaces using JavaScript/TypeScript and React • Create back-end APIs using FastAPI or Flask • Deploy data and application workloads on cloud platforms (AWS, Azure, or GCP) • Integrate Large Language Models (LLMs) and orchestration libraries • Develop ETL/ELT pipelines and implement data modeling solutions • Implement CI/CD pipelines and Git-based workflows • Ensure application security and data governance Requirements • Minimum 5 years of experience as a full stack, data, or software engineer • Strong proficiency in Python and SQL • Minimum 2 years of hands-on Databricks experience • Experience with Delta Lake, Unity Catalog, Databricks SQL, and Apache Spark • Proficiency in front-end development (JavaScript/TypeScript, React) • Back-end/API development experience (FastAPI, Flask) • Minimum 2 years of cloud platforms experience (AWS, Azure, or GCP) • Experience with LLMs and orchestration libraries • Understanding of data modeling, relational and Lakehouse design • Experience with CI/CD, Git-based workflows, and infrastructure-as-code • Knowledge of application security, identity and access management • Bachelor’s degree in computer science, Engineering, or a related field Experience is expected to be out of the local Perficient office with potential for travel to client sites when required.