Information Operations Data Engineer

Overview

As a forward-deployed Data Engineer, you own end-to-end data and AI solution delivery to support mission owners in making timely, trustworthy decisions. You work directly with end users to design scalable, high-performance data solutions, spanning development, deployment, and sustainment. You’ll guide customers through new technologies, balancing fast delivery with long-term resilience across multi-project programs. This role combines full-stack engineering, data engineering, and agentic AI workflows to shape operational tools that meet evolving mission needs. A strong hook is the opportunity to impact critical outcomes at the source of the mission in a fast-paced, collaborative environment.

Leistungen / Benefits

• health benefits
• life insurance
• disability benefits
• retirement benefits
• paid leave
• professional development

Verantwortungsbereiche

• Own full lifecycle of data and AI solutions from requirements to sunsetting
• Collaborate with end users to build, operate, and maintain scalable data systems
• Guide customers through emerging technologies and tailor solutions to workflows
• Support multiple concurrent projects across full-stack development, data engineering, modeling and simulation, and agentic AI workflows
• Continuously explore new services and platforms to ensure long-term mission resilience
• Engage directly with mission users to co-create operational tools

Zentrale Anforderungen

• 5+ years of application development and full-stack engineering in production
• 5+ years building enterprise-scale data applications, architectures, and pipelines (e.g., Palantir Foundry, AIP, Gotham; War Data Platform Advana)
• 5+ years ETL/ELT pipeline experience for structured and unstructured data at scale
• 3+ years translating requirements to senior mission stakeholders and communicating to both non-technical and technical audiences
• 3+ years embedded with end users
• 2+ years deploying agentic AI workflows, autonomous data pipelines, and multi-agent orchestration on LLM platforms
• Experience managing the full lifecycle of technical product development (requirements to decommissioning)
• Ability to rapidly learn new platforms and stay platform-agnostic
• TS/SCI clearance
• Bachelor’s degree

• Excellent communication with senior stakeholders
• Strong collaboration and cross-functional teamwork
• Ability to thrive in fast-paced, ambiguous environments
• Python
• SQL
• Scala