Senior Data Platform Engineer

Responsibilities

Peraton is looking for 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. 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.

Qualifications

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 Overview Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy.

As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure. Target Salary Range $112,000 - $179,000.

This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law. Peraton is looking for 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. 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.

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