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Salary
≈ $97k – $182k per year (Estimated)
Location
In office (Washington)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Apr 22, 2025. Spear AI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in Washington, D.C., Spear AI is a defense technology company specializing in artificial intelligence and machine learning software for national security and maritime operations. The company develops edge-ready software platforms - including its Horizon AI data processing system and Forerunner threat assessment suite - that automate tactical sensor analysis, passive acoustic signal processing, and operational decision-making across cloud, classified air-gapped networks, and underwater edge environments.

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.

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