The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
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).
