Senior Data Platform Engineer

Peraton is hiring a Senior Data Platform Engineer to build and maintain a greenfield data and AI platform supporting federal background investigation work. The role develops data pipelines and products, contributes to infrastructure and CI/CD, monitors quality and reliability, and supports data science and ML teams within federal security and compliance constraints.

Responsibilities:

• Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products
• Extend the platform following the architecture, patterns, and standards set by the lead platform engineer
• Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines that promote work into the accredited production environment
• Monitor data quality, pipeline reliability, and performance; troubleshoot and resolve issues
• Apply data governance, cataloging, and access-control practices within the established framework
• Support the data science and ML team by delivering the governed datasets and tooling they need
• Operate within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering
• Collaborate closely with the engineering team and maintain clear documentation of pipelines and processes

Requirements:

• U.S. Citizenship required
• Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance
• 4 years building and maintaining production data pipelines
• Strong proficiency in Python and SQL
• Hands-on ETL / data pipeline development and sound analytical data modeling
• Working familiarity with cloud data platforms (Azure preferred; AWS or GCP fine) and version control / CI/CD workflows
• Solid analytical, troubleshooting, and communication skills
• Minimum of 8 years with BS/BA
• Minimum of 6 years with MS/MA
• Dependable, self-directed execution with minimal oversight
• Strong collaboration across technical and non-technical teams
• Clear documentation and knowledge-sharing
• Active clearance preferred
• Databricks experience (or a comparable lakehouse stack: Spark, Delta, dbt, Snowflake)
• Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads
• Experience in regulated or accredited environments: FedRAMP, NIST 800-171, CMMC, or CUI handling
• Active security clearance (T5/SSBI or higher)
• Government or defense contracting experience
• Familiarity with data governance / cataloging tooling (e.g., Unity
• Catalog) and orchestration tools (Airflow, dbt)
• Eagerness to grow ownership and learn the compliance environment