Data Engineer - Analytics Platforms

Peraton Labs is seeking a Data Engineer to support the development of the Digital Command Center and associated data-driven capabilities for the FAA BNATCS program. The position focuses on delivering production-grade data pipelines, integrations, and backend components that power analytics, visualization, and evolving agentic AI workflows.

Responsibilities

• Design, develop, and maintain data pipelines, transformations, integrations, and supporting application logic for the Digital Command Center
• Create 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 consumers
• Collaborate with data, systems, operations, and visualization stakeholders to translate requirements into usable technical solutions
• Integrate multiple structured and semi-structured data sources as program needs evolve
• Develop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data products
• Operationalize data flows and application functionality supporting internal Agentic AI tools and workflows
• Deliver practical, maintainable technical solutions rather than one-off analysis artifacts
• Identify performance issues, data quality problems, integration gaps, and technical constraints that impact delivery
• Work with architects, data leads, and software teams to support scalable and maintainable solutions aligned to broader platform goals
• Support rapid iteration in a dynamic environment where requirements and use cases continue to change

Requirements

• Minimum education and experience: BS degree with 5+ years of experience, or MS degree with 3+ years of experience, 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 context
• Experience integrating multiple data sources to support downstream analytics, dashboards, or application usage
• 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 objectives
• Strong analytical thinking, problem-solving ability, and attention to detail
• US Citizenship with ability to obtain and maintain an FAA Public Trust suitability

Technologies

• Python, SQL
• Docker, Kubernetes, Terraform
• MCP
• LLM-enabled applications
• JavaScript, TypeScript, Java, C++
• PostgreSQL, MySQL, Snowflake, BigQuery, Redshift
• APIs, microservices

Benefits

• Medical, Dental, Vision
• Life
• Health savings account
• Short/long term disability
• EAP
• Parental leave
• 401(k)
• Paid time off (PTO) for vacation
• Company paid holidays

Additional Details

• Location: Herndon, VA (onsite)
• Target salary range: USD 86,000 - 138,000 per year
• Application window: Estimated to be 30 days from the job posting date
• During review, applicants may be asked to participate in an on-camera interview and complete an identity verification process
• EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law