Data Engineer - Analytics Platforms

Peraton Labs invites applications for a Data Engineer to build data pipelines, transformations, and data driven components for analytics, visualization, and evolving agentic AI workflows within the FAA BNATCS program. This onsite opportunity in Herndon, VA offers a salary of USD 86,000 - 138,000 per year and a comprehensive benefits package. The role is hands-on across data sources, backend services, and data enabled applications to deliver practical, scalable solutions that support internal decision-making and tooling.

Responsibilities

• 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

Requirements

• Education: BS degree with 5+ years of experience, 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 production, prototype, or mission-support environments
• 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

Technologies

• Python
• SQL
• Docker
• Kubernetes
• Terraform
• JavaScript
• TypeScript
• Java
• C++
• PostgreSQL
• MySQL
• Snowflake
• BigQuery
• Redshift

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

Equal Opportunity

Peraton is an equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.