Senior Data Platform Engineer

Peraton•,

4d•$112,000 - $179,000•Remote

About The Position

Peraton is hiring a Data Architecture, Lead Associate. This work is 100% remote. This role builds and extends a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform's lead engineer, you'll develop and maintain the pipelines, transformations, and data products that move the platform forward — growing your ownership as the platform matures. This is hands-on engineering in a high-trust environment where FedRAMP Moderate, NIST 800-171, and CUI handling shape how the work is built. Active clearance preferred; candidates able to obtain one encouraged to apply.

Requirements

U.S. Citizenship required.
Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; active clearance preferred.
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.
5 years work experience with BS/BA

Nice To Haves

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).
Dependable, self-directed execution with minimal oversight.
Strong collaboration across technical and non-technical teams.
Clear documentation and knowledge-sharing.
Eagerness to grow ownership and learn the compliance environment.

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.