Responsibilities

The Databricks Data Engineer will be responsible for the hands-on build-out of a Government-owned Databricks workspace and the data ingestion/integration work needed to consolidate agency business system data. This includes designing and implementing data pipelines from core enterprise systems, implementing Unity Catalog for data governance, configuring MLflow for machine learning workflows, and developing comprehensive documentation to support sustainment beyond the pilot.

 

This role is 100% Remote.

 

Other Responsibilities Include:

• Build out and configure a dedicated Government workspace within the existing Databricks environment
• Design and implement data ingestion pipelines from core agency business systems including financial, HR, CRM, and ITSM systems
• Leverage native/built-in connectors where source systems support them; design custom integration approaches for legacy systems
• Normalize and prepare ingested data within Databricks for consumption by downstream visualization/reporting tools
• Implement Databricks Unity Catalog for centralized data governance, metadata management, active auditing, and end-to-end lineage tracking
• Review current configuration, assess security controls for CUI/PII/PHI/financial data, and implement improvements
• Develop comprehensive "as-built" documentation including physical/logical architecture diagrams, automated data dictionaries, and SOPs
• Document data sources, integration methods, and data lake architecture decisions to support sustainment

Qualifications

Required Qualifications:

• Min 8 years with BS/BA, Min 6 years with MS/MA, Min 3 years with PhD
• US Citizenship
• Active DoD Secret clearance
• 2 years working on the Databricks platform
• Strong proficiency in PySpark, Spark SQL, and Python for large-scale data processing and pipeline development
• Hands-on experience with Unity Catalog administration, including metastore management, access policies, and data lineage
• Experience with pipeline orchestration tools (Airflow, Databricks Workflows)
• Experience with Delta Lake, schema evolution, time travel, and optimization techniques
• Experience integrating heterogeneous enterprise systems, including legacy/custom integrations
• Familiarity with cloud platforms (Azure/AWS) and infrastructure-as-code practices
• Understanding of data governance principles, compliance frameworks, and CUI/PII handling practices
• Familiarity with financial, HR, CRM, or ITSM data structures
• Git/CI-CD pipeline experience
• DoD 8570 certification

Preferred Qualifications:

• Databricks Certified Data Engineer Associate or Professional certification

 

Target Salary Range$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.