Data Engineer - Analytics Platforms

Welcome page Returning candidate? Log back in! Data Engineer - Analytics Platforms Job Locations US-VA-Herndon | US-MD-Annapolis Junction | US-MD-Bowie Requisition ID 2026-166092 Position Category Information Technology Clearance Public Trust Responsibilities 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 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...