Senior Data Platform Engineer

Peraton; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Peraton is seeking a Senior Data Platform Engineer to build and extend a greenfield data and AI platform supporting federal background investigation work. This role is 100% remote and involves hands-on engineering in a high-trust environment with FedRAMP Moderate, NIST 800-171, and CUI handling requirements.

Working with the platform lead, you will develop pipelines, transformations, and data products, growing ownership as the platform matures.

Qualifications

• 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.
• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA.

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.

Skills

Python

SQL

ETL / data pipeline development

data modeling

cloud data platforms

CI/CD workflows

communication skills

collaboration

documentation

ownership growth

Education

BS/BA

MS/MA

Tools

Databricks

dbt

Airflow

Terraform

Snowflake

Unity Catalog

Job description

Required Qualifications

• 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.
• Minimum of 8 years with BS/BA; Minimum of 6 years with MS/MA

Preferred Qualifications

• 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).

Soft Skills

• 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.

#RDG

Peraton is looking for a Senior Data Platform Engineer.

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.

• 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.