Databricks Data Engineer
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Job Description
GovCIO LLC is seeking a Databricks Data Engineer / Training Instructor to serve as Key Personnel for a FEMA OEHP data engineering skills modernization program. This hybrid-remote role supports virtual instruction delivered through Microsoft Teams, with instructor access to DHS systems required for hands-on delivery and program activities.
The position is one of two required Databricks Data Engineer Key Personnel roles under the contract, supporting up to 20 FEMA-OEHP staff through a structured bootcamp, tutoring, and project-based learning experience mapped to real program milestones.
Location
- Remote (hybrid) with connection to the Washington, DC metro area
Salary
- USD 175,000 - 195,000 per year
Experience & Education
- 12 years minimum experience (or commensurate experience)
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
Responsibilities
- Serve as Key Personnel as a 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 an approximately 25-question self-administered initial skills assessment and tailor tutoring and curriculum depth to participant results
- Deliver weekly virtual training 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 that include a core topic and an additional advanced track, combining lecture and hands-on labs
- Guide 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 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 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 an approximately 25-question self-administered exit assessment to measure participant growth for program evaluation
- Develop a standalone, tiered (beginner/intermediate/advanced) training program and a corresponding Train-the-Trainer 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 required firewall clearances and DHS security requirements
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or related field with demonstrated deep expertise in Databricks and experience developing or delivering technical training with 12 years or commensurate experience
- Deep, hands-on Databricks expertise including SQL and PySpark notebooks, Jobs/Workflows, Delta Lake, Unity Catalog, and MLflow
- Experience implementing vector search within Databricks
- Experience building, orchestrating, and integrating data pipelines (example: Data Factory)
- Experience with AI model development, agentic workflows, and AI Gateway/agent tooling
- Proficiency with Microsoft Power Platform including Power Apps (canvas), Power Automate (cloud and desktop), and Power Fx
- Strong skills in SQL (joins, CTEs, window functions), Python, regex, and Git
- Demonstrated experience developing and delivering technical training curriculum, hands-on labs, or bootcamp-style instruction
Technologies
- Databricks; SQL; PySpark; Jobs/Workflows; Delta Lake; Unity Catalog; MLflow; vector search; Data Factory; AI Gateway/agents; Genie
- Power Apps (canvas); Power Automate (cloud and desktop); Power Fx; Power BI; DAX/M
- SharePoint; ESRI ArcGIS Pro/Online; Power Platform; AI Gateway; AI agents
- Advanced notebook development; catalog management and permissioning; pipeline construction and orchestration; dashboards; security best practices
- Distributed compute/Spark; medallion architecture ETL; lakehouse architecture; monitoring/diagnostics tools; EHP data dictionary
- Microsoft Teams
Preferred Skills & Experience
- 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
Clearance
- Ability to obtain and maintain suitability/Public Trust
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