Database Engineer - Analytics Platforms

Peraton•Herndon, VA

About The Position

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.

Requirements

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

Nice To Haves

Experience building or supporting applications that use LLMs at the API level
Experience with additional languages such as JavaScript, TypeScript, Java, C++, or similar
Experience with APIs, microservices, or backend service development
Experience with databases, data warehouses, or analytics platforms such as PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or similar technologies
Experience supporting dashboards, analytics platforms, digital command environments, or decision-support tools
Familiarity with FAA dashboard development, aviation operations, transportation systems, or other complex mission environments
Experience in prototype development, applied R&D, or fast-moving technical programs

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