Mission Data Engineer
Data Engineer – Spear AI
Location: On-site, Washington, DC Clearance Required: Secret (active) Employment Type: Full-time, salaried, benefits-eligible
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.
About the Role:
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.
Primary 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.
Required Experience:
- 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.