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Salary
≈ $115k – $220k per year (Estimated)
Location
In office
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 20, 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.

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure.

Designs, develops, and maintains scalable data pipelines and infrastructure to support enterprise AI/ML operations. Works with structured and unstructured data sources to ensure reliable data flow for chatbot training and operational analytics. Opportunity to work on real-world projects that directly impact warfighter capabilities and mission success.

Key Responsibilities

  • Develop and maintain ETL/ELT pipelines for processing large-scale datasets
  • Design data models and schemas optimized for AI/ML workloads
  • Implement data quality monitoring and validation frameworks
  • Collaborate with AI engineers to understand data requirements and optimize data delivery
  • Troubleshoot data pipeline issues and implement performance improvements
  • Maintain documentation for data flows, transformations, and pipeline architectures
  • Support data governance initiatives and ensure compliance with data handling policies

Qualifications

  • 5+ years of experience in data engineering or related field
  • Active TS/SCI clearance with ability to obtain CI Polygraph
  • Proficiency in Python, SQL, and data processing frameworks (Apache Spark, Kafka, etc.)
  • Experience with cloud platforms (AWS preferred, Azure, GCP) and containerization technologies
  • Knowledge of data warehousing concepts and modern data stack tools
  • Understanding of version control systems and CI/CD practices
  • AWS experience highly preferred but not required
  • Military experience strongly preferred

What We Offer

  • Unlimited PTO - Take the time you need to recharge and maintain work-life balance
  • Dedicated Sick Time - Your health and wellbeing come first
  • Comprehensive Health & Benefits - Medical, dental, and vision coverage to keep you and your family protected
  • 11 Paid Holidays - Enjoy time off throughout the year to celebrate and spend with loved ones
  • Professional Development - Educational opportunities and resources to help you grow your skills and advance your career
  • Collaborative Environment - Work directly with leadership in our flat organizational structure where your ideas and contributions matter
  • Mission-Driven Work - Contribute to projects that directly support national security and make a real-world impact
  • Growth Opportunities - Join us during an exciting expansion phase where you can help shape our future

Additional Benefit Opportunties when you choose Spear AI

  • 401(k) with company match
  • Onsite / Remote / Flexible work arrangements or hybrid options (position dependent)
  • Relocation assistance (position dependent)
  • Referral bonuses
  • Performance bonuses
  • Life insurance and disability coverage
  • Technology home office setup stipend
  • Professional certification reimbursement
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