TS/SCI Remote Sensing Engineer - Geospatial Intelligence

Riverside Research Institute; Fair Oaks (VA); On-site; USD 97,000 - 135,000; Full time

Job summary

Riverside Research Institute is seeking a Remote Sensing Engineer to support analysis and exploitation of remote sensing data for national security missions. The role requires an active TS/SCI clearance and can be located in Fairfax or Springfield, VA or Beavercreek, OH.

You will develop geospatial workflows, build Python tools for imagery processing, and work with engineers and analysts to deliver mission-focused solutions. This is a highly technical, collaborative position.

Qualifications

• Active TS/SCI security clearance required.
• Experience processing and analyzing satellite or airborne imagery.
• Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar.
• Strong Python programming skills for geospatial analysis and workflow automation.
• Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
• Ability to manage multiple priorities and work independently in a remote environment.
• Experience in RF, Elevation/Terrain, Non-Earth Imaging, SAR, Infrared, Hyperspectral, LiDAR, UAS, or related fields is a plus.

Responsibilities

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

Skills

Active TS/SCI clearance

Remote sensing

Geospatial analysis

Python programming

ArcGIS Pro

QGIS

ENVI

ERDAS Imagine

GDAL

Rasterio

GeoPandas

Shapely

OpenCV

Docker

AWS

Azure

Machine learning / CV for geospatial

Education

Bachelor's degree or 8 years of experience in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline preferred. Applicable experience will be considered in lieu of degree.

Tools

ArcGIS Pro

QGIS

ENVI

ERDAS Imagine

GDAL

Rasterio

GeoPandas

Shapely

OpenCV

Job description

Riverside Research Institute is seeking a Remote Sensing Engineer to support analysis and exploitation of remote sensing data for national security missions. The role requires an active TS/SCI clearance and can be located in Fairfax or Springfield, VA or Beavercreek, OH.

You will develop geospatial workflows, build Python tools for imagery processing, and work with engineers and analysts to deliver mission-focused solutions. This is a highly technical, collaborative position.