Databricks Data Engineer

GovCIO is hiring a Databricks Data Engineer and Training Instructor to support FEMA's Office of Environmental Planning and Historic Preservation data engineering skills modernization program. The role delivers virtual training, tutoring, assessments, hands-on labs, and project-based instruction covering Databricks, data engineering, AI, and Microsoft Power Platform technologies.

Responsibilities:

• Serve as a Key Personnel Databricks Data Engineer/instructor delivering a customized training and bootcamp program to up to 20 FEMA-OEHP staff already proficient in Databricks
• Collaborate with FEMA-OEHP stakeholders during a 2-month pre-planning phase to finalize curriculum, project goals, and integration requirements
• Develop and administer a self-administered, ~25-question initial skills assessment, and tailor tutoring and curriculum depth to individual results
• Deliver weekly virtual training curriculum mapped to project milestones and integration tasks, using DHS/EHP datasets and real-world data where appropriate
• Provide two 1-hour, 1-on-1 tutoring sessions per week per participant during a 1-month tutoring period
• Lead weekly seminars (core topic plus an additional advanced track) combining lecture and hands-on labs for bootcamp participants
• Guide participants through project-based learning to collaboratively build: vector search tools; data pipelines integrating Databricks with SharePoint, Power BI, ESRI ArcGIS Pro, and Power Platform; predictive compliance-review models; agentic compliance-review tools; and related audit, logging, and reporting features
• Deliver Databricks platform training covering advanced notebook development, catalog management and permissioning, pipeline construction and orchestration, MLflow, Delta Lake, Unity Catalog, Genie, AI Gateway/agents, vector search, Data Factory, dashboards, and security best practices
• Deliver data engineering concepts training including SQL (joins, CTEs, window functions), regex, Python for data transformations, Power BI DAX/M, Git integration, medallion architecture ETL, lakehouse architecture, and distributed compute/Spark
• Provide targeted training on Power Apps (canvas) and Power Automate (cloud and desktop), including building and diagnosing flows, basic Power Fx syntax, monitoring/diagnostics tools, and security best practices
• Administer a self-administered, ~25-question exit assessment to measure participant growth for program evaluation purposes
• Develop a standalone, tiered (beginner/intermediate/advanced) training program and an accompanying Train-the-Trainer standard operating procedure (SOP) so FEMA can train future employees
• Support use of DHS/EHP datasets and assist with mapping and updating the EHP data dictionary as part of hands-on exercises
• Maintain access to DHS computers and comply with all required firewall clearances and DHS security requirements

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, or a related field with demonstrated deep expertise in Databricks and experience developing or delivering technical training with 12 years or (or commensurate experience)
• Deep, hands-on expertise in Databricks: SQL and PySpark notebooks, Jobs/Workflows, Delta Lake, Unity Catalog, and MLflow
• Experience with vector search implementation within Databricks
• Experience with data pipeline construction, orchestration, and integration (e.g., Data Factory)
• Experience with AI model development, agentic workflows, and AI Gateway/agent tooling
• Proficiency with Microsoft Power Platform: Power Apps (canvas), Power Automate (cloud and desktop), and Power Fx
• Strong SQL (joins, CTEs, window functions), Python, regular expressions, and Git
• Demonstrated experience developing and delivering technical training curriculum, hands-on labs, or bootcamp-style instruction
• Ability to obtain and maintain a suitability/Public Trust
• Experience integrating Databricks with SharePoint, Power BI, ESRI ArcGIS Pro/Online, and Genie
• Experience developing Train-the-Trainer SOPs or instructional design materials
• Experience supporting federal or DHS training, data modernization, or compliance-review programs