Data Engineer - Analytics Platforms

Peraton Labs; Herndon (VA); On-site; USD 86,000 - 138,000; Full time

Benefits offered by this job

Medical insurance

401(k) plan

Paid time off

Job summary

Peraton Labs is seeking a Data Engineer to develop data-driven capabilities for the FAA BNATCS program in Herndon, Virginia. The ideal candidate should have strong experience in Python and SQL, with a solid foundation in building data pipelines and working in cloud environments. This unique role emphasizes the intersection of data engineering and aviation modernization efforts, offering a salary range of $86,000 to $138,000. Benefits include medical, dental, vision, and 401(k)..

Qualifications

• 5+ years of experience or a related Master's with 3+ years.
• Hands-on development experience with Python.
• Experience with SQL and relational/analytical data stores.

Responsibilities

• Design and maintain data pipelines for the Digital Command Center.
• Build data-driven components for dashboards and analytics.
• Write production-quality code for data processing.

Skills

Python

SQL

Data Pipeline Development

Data Analysis

Cloud Environments

Education

BS in Computer Science, Data Engineering, or related field

MS in Computer Science

PhD in related field

Tools

Docker

Kubernetes

Terraform

PostgreSQL

Snowflake

Job description

Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we're keeping people around the world safe and secure.

About The Role

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.

Key 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

Qualifications

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, 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

Details

Target Salary Range: $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.