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. Visitperaton.comto learn how we’re keeping people around the world safe and secure. Responsibilities Peraton Labsis seeking aData Engineerto 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 CenterBuild data-driven components that support dashboards, analytics products, visualization layers, and internal decision-support capabilitiesWrite production-quality code to ingest, process, transform, and expose data for downstream usePartner with data, systems, operations, and visualization stakeholders to translate requirements into usable technical solutionsSupport integration of multiple structured and semi-structured data sources across evolving program needsDevelop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data productsHelp operationalize data flows and application functionality in support of internal Agentic AI tools and workflowsContribute to the development of practical, maintainable technical solutions rather than one-off analysis artifactsHelp identify performance issues, data quality problems, integration gaps, and technical constraints affecting deliveryWork closely with architects, data leads, and software teams to ensure solutions are scalable, supportable, and aligned to broader platform goalsSupport rapid iteration in a dynamic environment where requirements and use cases will continue to evolve Qualifications Required QualificationsMinimum of a BS degree with 5 years of experience, MS degree with 3 YoE, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related fieldStrong hands-on development experience with PythonStrong experience with SQL and working with relational and/or analytical data storesExperience building data pipelines, transformation workflows, backend data services, or data-driven applicationsExperience with Agentic AI systems, autonomous workflows, MCP and system tools, LLM-enabled applications, or intelligent orchestration environmentsDemonstrated ability to write code and develop technical solutions in a production, prototype, or mission-support environmentExperience working across multiple data sources and integrating data for downstream analytics, dashboards, or application useExperience with cloud environments, containerization, and deployment tooling such as Docker, Kubernetes, or TerraformAbility to work effectively at the intersection of technical implementation and business or mission needsStrong analytical thinking, problem-solving ability, and attention to detailUS Citizenship with ability to obtain and maintain an FAA Public Trust suitabilityPreferred Additional QualificationsExperience building or supporting applications that use LLMs at the API levelExperience with additional languages such as JavaScript, TypeScript, Java, C , or similarExperience with APIs, microservices, or backend service developmentExperience with databases, data warehouses, or analytics platforms such as PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or similar technologiesExperience supporting dashboards, analytics platforms, digital command environments, or decision-support toolsFamiliarity with FAA dashboard development, aviation operations, transportation systems, or other complex mission environmentsExperience in prototype development, applied R&D, or fast-moving technical programs