TS/SCI Data & ML Engineer: NLP, Graphs & Secure Frontends

Agile Defense; Arlington (TX); On-site; USD 150,000 - 170,000; Full time

Job summary

Agile Defense is seeking an Applied Data & Software Engineer to design, build, and deploy analytical tools, ML workflows, knowledge systems, and multi-user applications. The role combines modern software engineering, applied ML, data integration, and rapid prototyping in secure environments.

Responsibilities include developing Python-based NLP pipelines, building knowledge graphs, designing TypeScript front ends for real-time analytics, and creating end-to-end data pipelines while complying

Qualifications

• Bachelor’s degree or equivalent in a technical field.
• 4+ years of Python development experience, including application development and Git.
• 4+ years of front end TypeScript experience with multi-user deployments and Python proficiency.

Responsibilities

• Develop and deploy Python-based NLP and ML workflows.
• Build network analysis and knowledge graph systems for multi-source analytics.
• Design front-end applications in TypeScript for real-time analytics and decision environments.
• Build APIs, integrate data feeds, and support end-to-end data pipelines in secure environments.
• Evaluate and adapt tools for Joint Staff missions with minimal supervision.
• Provide documentation and iterative solutions with customer personnel.

Skills

Python development

TypeScript

Git version control

NLP / ML workflows

Education

Bachelor’s degree in computer science, data science, engineering, information systems, mathematics, or related technical field

Tools

Graph databases

APIs

Job description

Agile Defense is seeking an Applied Data & Software Engineer to design, build, and deploy analytical tools, ML workflows, knowledge systems, and multi-user applications. The role combines modern software engineering, applied ML, data integration, and rapid prototyping in secure environments.

Responsibilities include developing Python-based NLP pipelines, building knowledge graphs, designing TypeScript front ends for real-time analytics, and creating end-to-end data pipelines while complying