Senior Data Platform Engineer

Peraton•,

1d•$112,000 - $179,000•Remote

About The Position

Peraton is seeking a Senior Data Platform Engineer to build and extend a greenfield data and AI platform supporting federal background investigation work. Working alongside the platform’s lead engineer, this role develops and maintains pipelines, transformations, and data products, with increasing ownership as the platform matures. The work is hands-on and takes place in a high-trust environment shaped by FedRAMP Moderate, NIST 800-171, and CUI requirements. The position is 100% remote. An active security clearance is preferred; candidates who can obtain one are encouraged to apply.

Requirements

U.S. citizenship is required.
Must be able to obtain and maintain a T5/SSBI federally adjudicated clearance; an active clearance is preferred.
Four years building and maintaining production data pipelines.
Strong proficiency in Python and SQL.
Hands-on ETL and data pipeline development experience and sound analytical data modeling skills.
Working familiarity with cloud data platforms; Azure is preferred, while AWS or GCP is acceptable.
Working familiarity with version control and CI/CD workflows.
Solid analytical, troubleshooting, and communication skills.
Minimum of 8 years of experience with a BS/BA, or minimum of 6 years with an MS/MA.

Nice To Haves

Experience with Databricks or a comparable lakehouse stack such as Spark, Delta, dbt, or Snowflake.
Exposure to infrastructure-as-code (Terraform) and CI/CD for data workloads.
Experience in regulated or accredited environments, such as FedRAMP, NIST 800-171, CMMC, or CUI handling.
Active security clearance (T5/SSBI or higher).
Government or defense contracting experience.
Familiarity with data governance or cataloging tools such as Unity Catalog and orchestration tools such as Airflow or 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 according to the architecture, patterns, and standards established by the lead platform engineer.
Contribute to infrastructure-as-code using Terraform and to 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 machine learning team by delivering the governed datasets and tooling they need.
Work within FedRAMP Moderate, NIST 800-171, and CUI constraints in day-to-day engineering.
Collaborate with the engineering team and document pipelines and processes clearly.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Health savings account
Short- and long-term disability
Employee assistance program (EAP)
Parental leave
401(k)
Paid time off (PTO) for vacation
Company-paid holidays
Potential overtime, shift differential, and discretionary bonus, depending on the position