Mission Data Engineer

Spear AI; Washington (District of Columbia); On-site; USD 90,000 - 120,000; Full time

Job summary

A cutting-edge AI solutions provider is seeking a Data Engineer in Washington, DC. The role focuses on building robust data infrastructure for analytics and decision support systems. Candidates should have 3–7 years of data engineering experience and an active Secret clearance. Proficiency in Python, Spark, and SQL is essential. This is an on-site, full-time position with competitive benefits.

Qualifications

• 3–7 years in data engineering, preferably within secure, high‑side environments.
• Active Secret clearance required.
• Experience with classified data management and secure networking.

Responsibilities

• Design and manage secure data pipelines for ML and analytics workflows.
• Handle data ingestion, transformation, and validation.
• Collaborate with mission engineers and data scientists.

Skills

Python

Spark

SQL

Data orchestration tools

Job description

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.