Databricks Engineer

Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8

Required

Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8

Required

Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8

Required

Proficiency in SQL and Python (or Scala) for large-scale data processing.

8

Required

Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8

Required

Experience implementing data governance, data quality, and data security practices.

8

Required

Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8

Required

Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

8

Required

Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1

Preferred

Experience working in public sector or state government environments.

1

Preferred

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1

Preferred

Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).