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Mission Data Engineer

Washington, DC

Pay
Salary not listed in the saved posting
Work setup
On-site stated — work setup source
Data Engineer – Spear AI Location: On-site, Washington, DC Clearance Required: Secret (active)
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Employment
Full-time — employment source
Clearance Required: Secret (active) Employment Type: Full-time, salaried, benefits-eligible About Spear AI:
Employment type Full-Time
Read the full posting
Apply at Spear-Ai

What you’ll work on

Full posting

Spear AI seeks a Data Engineer to build robust, secure data infrastructure supporting the an IC Task Force.

  • Design and manage secure data pipelines enabling ML and analytics workflows.

  • Collaborate with mission engineers and data scientists to align infrastructure with operational objectives.

  • Optimize data processing and storage for real-time and batch operations.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Core experience

  • 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).
Qualification wording
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.
Familiarity with IC standards (UDS, IC ITE) and secure cloud environments (AWS GovCloud, C2S).

Tools in this posting

  • Python
  • SQL
  • AWS
  • Spark
  • Airflow
Source — Tool mentions in context
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 Spear-Ai

Spear AI delivers cutting-edge artificial intelligence solutions tailored specifically for maritime defense and national security operations.

In the employer’s words · Read in context

Job description

View original posting ↗

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.

Employment type

Full-Time

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

Washington, DC

Data Engineer – Spear AI Location: On-site, Washington, DC Clearance Required: Secret (active)
Work authorization

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Status in our records
Active
First seen by us
Apr 15, 2026
Recorded sightings
22
Last seen by us
Oct 7, 2026
Employer says posted
Apr 22, 2025

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