Database Engineer - Analytics Platforms

Job Title

Database Engineer - Analytics Platforms

US-VA-Herndon | US-MD-Annapolis Junction | US-MD-Bowie

Requisition :
• Position Category:
Information Technology
• Clearance:
Public Trust

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 focuses on building 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 between analytics, software, and emerging agentic AI workflows, turning 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
• Help identify performance issues, data quality problems, integration gaps, and technical constraints affecting delivery
• Work closely with architects, data leads, and software teams to ensure solutions are scalable, supportable, and aligned to broader platform goals
• Support rapid iteration in a dynamic environment where requirements and use cases will continue to evolve

Required Qualifications

• Minimum 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 field
• Strong hands-on development experience with Python
• Strong experience with SQL and working with relational and/or analytical data stores
• Experience building data pipelines, transformation workflows, backend data services, or data-driven applications
• Experience with Agentic AI systems, autonomous workflows, MCP and system tools, LLM-enabled applications, or intelligent orchestration environments
• Demonstrated ability to write code and develop technical solutions in a production, prototype, or mission-support environment
• Experience working across multiple data sources and integrating data for downstream analytics, dashboards, or application use
• Experience with cloud environments, containerization, and deployment tooling such as Docker, Kubernetes, or Terraform
• Ability to work effectively at the intersection of technical implementation and business or mission needs
• Strong analytical thinking, problem-solving ability, and attention to detail
• US Citizenship with ability to obtain and maintain an FAA Public Trust suitability

Preferred Additional Qualifications

• Experience building or supporting applications that use LLMs at the API level
• Experience with additional languages such as JavaScript, Type Script, Java, C++, or similar
• Experience with APIs, microservices, or backend service development
• Experience with databases, data warehouses, or analytics platforms such as Postgre
  
  SQL, MySQL,…