Data Engineer - Analytics Platforms - Peraton

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 solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Peraton Labs is seeking a Data Engineer to support development of the Digital Command Center and related data-driven capabilities for the FAA BNATCS program. This role is best suited for a hands-on builder who can develop data pipelines, transformation logic, integrations, and data-backed application components that support analytics, visualization, and evolving agentic AI workflows.

The ideal candidate is a strong developer with data engineering instincts who can write code, work across data sources, build practical solutions, and help turn raw/fragmented information into usable products and capabilities. Experience supporting or developing Agentic AI workflows is a plus.

This role offers the chance to help build the technical backbone behind a highly visible aviation modernization program. You will work on practical, data-driven capabilities that sit between analytics, software, and emerging agentic AI workflows, helping turn fragmented data and evolving requirements into real technical products with immediate operational value.

Key responsibilities may include:

• Design, develop, and maintain data pipelines, transformations, integrations, and supporting application logic for the Digital Command Center
• Build data-driven components that support dashboards, analytics products, visualization layers, and internal decision-support capabilities
• Write production-quality code to ingest, process, transform, and expose data for downstream use
• Partner with data, systems, operations, and visualization stakeholders to translate requirements into usable technical solutions
• Support integration of multiple structured and semi-structured data sources across evolving program needs
• Develop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data products
• Help operationalize data flows and application functionality in support of internal Agentic AI tools and workflows
• Contribute to the development of practical, maintainable technical solutions rather than one-off analysis artifacts