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spear-ai

Mission Data Engineer

Published · Updated

Pay not postedWashington, DCOn-site

Build secure, resilient data infrastructure and pipelines for an IC Task Force, supporting analytics and decision-support systems.

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View posting at spear-ai

At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Level
Mid
Role
Individual contributor

What they ask for

Experience

  • 3+ yearsdata engineering
  • 7+ yearsdata engineering

Background

  • Implementation and data engineering

Tools

  • Python
  • Spark
  • SQL
  • Airflow
  • AWS GovCloud
  • C2S
  • UDS
  • IC ITE

Less common in FDE jobs

  • Responsibility level: Mid5%
  • On-site37%
  • Individual contributor or manager: Individual contributor50%

Share of US FDE postings that state each fact.

The job description from spear-ai

Posted by spear-ai on

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.

View posting at spear-ai

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Pay and conditions

Posted pay
Pay not posted
Location
Washington, DC
Work arrangement
On-site
Employment type
Full-time
Experience requirements
  • 3+ years: data engineering (required)
  • 7+ years: data engineering (required)

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