Geospatial Intelligence Engineer – TS/SCI Cleared

Riverside Research

Fairfax (VA)

On-site

USD 97,000 - 135,000

Full time

11 days ago
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Job summary

Riverside Research seeks a Remote Sensing Engineer to advance geospatial analysis and automation for national security missions. Remote sensing data processing, Python tooling, and model development will be core responsibilities.

The role requires active TS/SCI clearance and can be located in Fairfax or Springfield, VA, or Beavercreek, OH, with collaboration across multidisciplinary teams.

Qualifications

  • Active TS/SCI security clearance is required.
  • Experience processing and analyzing satellite or airborne imagery.
  • Proficiency with remote sensing and GIS software and Python for geospatial tasks.

Responsibilities

  • Process, analyze, and interpret satellite and other remotely sensed imagery.
  • Develop and maintain geospatial workflows and automated processing pipelines.
  • Design Python-based tools for imagery processing and feature extraction.
  • Perform image classification, object detection, and spatial analysis.
  • Support sensor calibration, validation, and quality assurance activities.
  • Collaborate with engineers, data scientists, and analysts to deliver mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for varied audiences.
  • Evaluate new remote sensing technologies and improve existing workflows.

Skills

Python programming
Geospatial analysis
Workflow automation
Security clearance TS/SCI

Education

Bachelor's degree in a related field

Tools

ArcGIS Pro
QGIS
ENVI
ERDAS Imagine
GDAL
Rasterio
GeoPandas
Shapely
OpenCV

Job description

Riverside Research seeks a Remote Sensing Engineer to advance geospatial analysis and automation for national security missions. Remote sensing data processing, Python tooling, and model development will be core responsibilities.

The role requires active TS/SCI clearance and can be located in Fairfax or Springfield, VA, or Beavercreek, OH, with collaboration across multidisciplinary teams.

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