Data Engineer - Analytics Platforms

Peraton Labs in Herndon, VA offers an onsite Data Engineer position with a salary range of USD 86,000 to 138,000 per year. This role sits within the Analytics Platforms group and emphasizes hands-on development of data pipelines, transformations, and data-backed components for analytics, visualization, and evolving agentic AI workflows within the FAA BNATCS program. The team focuses on practical, scalable solutions that connect diverse data sources, backend services, and data-driven applications to deliver real impact in a collaborative, mission-driven environment.

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

Responsibilities

• Design, build, and maintain end-to-end data pipelines, transformations, integrations, and supporting application logic for the Digital Command Center
• Create data-driven components that power dashboards, analytics products, visualization layers, and internal decision-support tools
• Develop production-quality code to ingest, process, transform, and expose data for downstream use
• Collaborate with data, systems, operations, and visualization stakeholders to translate requirements into technical solutions
• Integrate multiple structured and semi-structured data sources to meet evolving program needs
• Develop and refine backend logic, APIs, scripts, or services that enable analytics and user-facing data products
• Operationalize data flows and application functionality in support of internal Agentic AI tools and workflows
• Contribute to practical, maintainable technical solutions rather than one-off analyses
• Identify performance issues, data quality problems, integration gaps, and technical constraints affecting delivery
• Collaborate with architects, data leads, and software teams to ensure scalable, supportable solutions aligned with broader platform goals
• Support rapid iteration in a dynamic environment where requirements and use cases evolve

Requirements

• Bachelor of Science with 5+ years of experience, or Master of Science with 3+ years, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field
• Strong hands-on development experience with Python
• Strong SQL skills and experience 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
• Proven ability to write code and develop technical solutions in production, prototype, or mission-support contexts
• Experience integrating data from multiple sources for downstream analytics, dashboards, or applications
• Experience with cloud environments, containerization, and deployment tooling such as Docker, Kubernetes, or Terraform
• Ability to operate at the intersection of technical implementation and business or mission needs
• Strong analytical thinking, problem-solving ability, and attention to detail
• US Citizenship with the ability to obtain and maintain FAA Public Trust suitability

Technologies

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

EEO

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