Data Scientist – GEOINT Data Architecture & Operational Pipelines (NGA)

Fathom Management LLCSpringfield, VA
Onsite

About The Position

This role is focused on engineering the data backbone powering next-generation geospatial intelligence for the National Geospatial-Intelligence Agency (NGA). The Data Scientist will support advanced GEOINT and emerging sensor initiatives, focusing on operational data architecture, ETL and API-driven workflows, cross-domain data movement, cloud-based data engineering, and geospatial and sensor data standardization. You will help build and maintain the data infrastructure that enables secure, scalable, and mission-critical intelligence operations. The Data Scientist will support the maintenance and implementation of enterprise data architecture supporting emerging sensors and platforms, multi-source GEOINT data operations, and secure data movement across systems and security domains. This role requires hands-on expertise with databases and cloud architectures, API integrations, ETL/data pipelines, operational workflow automation, and data transformation and standardization. The ideal candidate is both technically strong and operationally minded, with the ability to support mission-critical intelligence workflows in highly secure environments.

Requirements

  • 4+ years experience working with SQL or NoSQL databases.
  • 4+ years experience working with Cloud architectures.
  • 4+ years experience working with Operational data workflows.
  • Experience leveraging APIs.
  • Experience leveraging ETL pipelines.
  • Experience leveraging Data integration workflows.
  • Strong experience with Python.
  • Strong experience with JavaScript.
  • Strong experience with Java.
  • Experience developing and sustaining operational data pipelines.
  • Experience developing and sustaining multi-format data workflows.
  • Experience developing and sustaining backend processing systems.
  • Excellent written and verbal communication skills.
  • Ability to explain complex technical concepts to engineers, analysts, and government stakeholders.
  • U.S. Citizen Required.
  • Active TS/SCI Required.

Nice To Haves

  • Experience with NGA CORE.
  • Experience with NGA MLOps.
  • Experience with Government ATO processes.
  • Experience with NPE certificates.
  • Familiarity with Scaled Agile Framework (SAFe).
  • Familiarity with Enterprise DevSecOps environments.
  • Experience creating dynamic visualizations.
  • Experience creating pipeline monitoring dashboards.
  • Experience creating operational metrics reporting.
  • Data engineering and architecture mindset.
  • Strong analytical problem solving.
  • Secure systems thinking.
  • Operational workflow optimization.
  • Collaboration across technical disciplines.

Responsibilities

  • Design, develop, and sustain operational data pipelines supporting multiple data formats, sensor ingestion workflows, and cross-platform integrations.
  • Support ETL workflows for emergent sensor data.
  • Build and maintain database schemas, cloud-based architectures, and data movement workflows.
  • Support secure movement of data across systems, security domains, and APIs.
  • Develop API-based workflows for data ingestion, data transfer, and operational integration.
  • Integrate sensor data into existing enterprise data pipelines.
  • Assess metadata, schema, and format differences across datasets.
  • Pre-process and standardize sensor data for labeling, analytics, model testing, and operational exploitation, which may include data transformation, file conversion, orthorectification, and geospatial tiling/chipping.
  • Implement data health alerts, pipeline monitoring, and governance controls.
  • Ensure compliance with government data standards, schema requirements, and security policies.
  • Collaborate with engineers, analysts, and government stakeholders.
  • Communicate complex technical concepts to both technical and non-technical audiences.

Benefits

  • Medical, dental, and vision insurance
  • Life insurance
  • Short- and long-term disability
  • 401(k) with company match
  • Paid time off and holidays
  • Tuition reimbursement
  • Professional development and training
  • Employee wellness programs
  • Commuter benefits
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