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Peraton

Senior Data Platform Engineer

Remote, United States

Target Salary Range $104,000 - $166,000.

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Job details

Pay: Target Salary Range $104,000 - $166,000.
Apply by: Nov 2, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

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.

Responsibilities

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.

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

Target Salary Range $104,000 - $166,000. 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. Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own. EEO EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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More about this job

Skills

Infrastructure as code
IBM Terraform
CI/CD
Troubleshoot
Cataloging
ML
Documentation
Python
SQL
Data engineering
Data modelling
Microsoft Azure
AWS
Google Cloud
Troubleshooting
Communication skills
Databricks
Apache Spark
dbt
Snowflake
Unity
Apache Airflow
Collaboration
Regulatory compliance

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