Databricks Data Engineer

Peraton; Milford Mill (MD); Remote; USD 120,000 - 160,000; Full time

Job summary

Peraton is seeking a Databricks Data Engineer for a Government-owned Databricks workspace. You will design and implement data pipelines from core agency systems, enable Unity Catalog governance, and configure MLflow for ML workflows.

You will document architectures, data dictionaries, and sustainment procedures, while ensuring secure handling of CUI/PII and compliance with DoD requirements. This is a 100% remote position supporting national initiatives.

Qualifications

• 5 years work experience with BS/BA; 3 years with MS/MA
• US Citizenship and 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

Responsibilities

• Build out a dedicated Government Databricks workspace and oversee data ingestion from core agency systems
• Design and implement data pipelines from financial, HR, CRM, and ITSM sources
• Leverage connectors or create custom integrations for legacy systems
• Normalize and prepare ingested data for downstream visualization and reporting
• Implement Unity Catalog for centralized governance, metadata, and lineage tracking
• Review security controls for CUI/PII/PHI/financial data and implement improvements
• Develop comprehensive as-built documentation including architecture diagrams and SOPs
• Document data sources, integration methods, and lake-architecture decisions for sustainment

Skills

PySpark

Spark SQL

Python

Unity Catalog

Airflow

Databricks Workflows

Delta Lake

Schema evolution

Time travel

Data governance

Cloud platforms

IaC

DoD 8570 certification

Git/CI-CD

Education

BS/BA in Computer Science/Engineering

MS/MA in related field

Tools

Databricks

MLflow

Job description

Required Qualifications:

• 5 years work experience with BS/BA; 3 years with MS/MA
• 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

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