Mission Data Engineer

Role Summary

• Data Engineer – Spear AI
• Location: On-site, Washington, DC
• Clearance Required: Secret (active)
• Employment Type: Full-time, salaried, benefits-eligible

Spear AI seeks a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force. The role involves creating resilient pipelines to power analytics and decision support systems.

Responsibilities

• Design and manage secure data pipelines enabling ML and analytics workflows.
• Handle data ingestion, transformation, and validation with auditable, secure processes.
• Collaborate with mission engineers and data scientists to align infrastructure with operational objectives.
• Optimize data processing and storage for real-time and batch operations.
• Ensure compliance with DIA’s data governance and cross-domain security standards.

Requirements

• Active Secret clearance.
• 3–7 years in data engineering, preferably within secure, high-side environments.
• Proficiency in Python, Spark, SQL, and data orchestration tools (e.g., Airflow).
• Experience with classified data management, secure networking, and infrastructure optimization.

Preferred Experience

• Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).
• Strong troubleshooting and optimization skills within complex operational settings.

About the Company

About Spear AI

Spear AI delivers cutting-edge artificial intelligence solutions tailored specifically for maritime defense and national security operations. Leveraging advanced data management, AI-driven decision intelligence software, and innovative sensor technologies, Spear AI provides mission-critical capabilities to government, defense, and intelligence customers. Founded by maritime and technology experts with extensive operational experience, Spear AI is positioned to be a leading provider of scalable, integrated AI solutions for defense applications.