Senior Data Engineer - Databricks, Security & Governance

Peraton is hiring a Senior Data Engineer to serve as the database authority for a federal data integration program supporting the U.S. Fish and Wildlife Service and NOAA’s National Marine Fisheries Service. The role leads cloud data platform design, security and governance implementation, and production migration for integrating species data.

Responsibilities:

• Lead the design and implementation of the harmonized data schema for federal species data within a cloud data lakehouse, reconciling structural and semantic differences across multiple source systems
• Produce the field-level source-to-target mapping document, documenting transformation logic, data type conversions, null handling, and data lineage
• Define and enforce metadata standards across all ingested datasets, ensuring consistency, traceability, and regulatory compliance
• Design and implement automated data quality validation frameworks within ETL pipelines
• Design and build the Metadata and Authoritative Source Registry, cataloging all data sources, ingestion pathways, update frequencies, and data stewardship contacts
• Implement FIPS 140-compliant encryption and enforce NIST SP 800-171/800-172 database security controls and role-based access controls
• Ensure Federal CUI Registry and data governance standards are applied to all data stored and processed within the platform
• Lead database performance monitoring and optimization within the cloud data platform
• Contribute to the Data Model Harmonization Report, providing database-layer schema design decisions, field-level mapping documentation, and metadata standard definitions for government review
• Lead the development of the production migration runbook database components and execute database migration tasks during production cutover
• Contribute to the Production Deployment Report, documenting database migration outcomes, post-deployment data validation results, and production monitoring findings
• Lead the Final Operational Playbooks database documentation

Requirements:

• Bachelors degree and 12 years professional experience or a Masters degree and 10 years professional experience or an Associates degree and 14 years professional experience; or a high school diploma/equivalent and 16 years' professional experience
• U.S. Citizenship required
• must have the ability to obtain and maintain a Public Trust clearance
• Extensive years of database engineering experience with expertise in cloud data platforms
• Hands-on experience with Databricks, Delta Lake, or equivalent cloud data lakehouse platforms
• Proficiency in Python or Scala for ETL pipeline implementation, data quality framework development, and database automation scripts
• Knowledge of FIPS 140, NIST SP 800-171/800-172, and federal CUI data governance standards
• Experience designing and implementing RBAC and data security controls in federal cloud environments
• Experience leading database migrations and production cutover activities on federal programs
• Experience with version-controlled code repositories and peer review enforcement
• Experience documenting post-deployment monitoring results and production validation outcomes
• Strong data modeling, schema design, and metadata management skills
• Experience with AWS GovCloud or equivalent FedRAMP-authorized cloud environments
• AWS Certified Database Specialty or AWS Certified Data Engineer certification
• Experience with Apache Spark for large-scale distributed data processing within Databricks environments
• Familiarity with federal environmental or geospatial data systems
• Databricks Certified Data Engineer or equivalent certification
• Experience with ETL pipeline data quality framework design
• Active Public Trust Clearance