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Gis Remote Sensing Analyst Jobs (NOW HIRING)

Dewberry

Entry Level Remote Sensing Operator

Tampa, FL · On-site +1

Understanding of aviation, GIS, remote sensing, or GPS survey methods * 1+ years of experience in the GIS/Remote Sensing Field * Interest in field operations * Ability to work and problem solve in ...

GeoSearch

Lidar Quality Analyst

Fairfax, VA · Remote

$69K - $88K/yr

Typical responsibilities include detailed analysis and review of topographic lidar data ... Experience creating scripts/models/macros in multiple GIS/remote sensing platforms * Bathymetric ...

Radiance Technologies

The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the ...

Dewberry

Geospatial Analyst II

Fairfax, VA · Remote

Dewberry is currently seeking a Geospatial Analyst II in our Tampa, FL or Fairfax, VA offices ... Experience creating scripts/models/macros in multiple GIS/remote sensing platforms. * Experience ...

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How much do gis remote sensing analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for gis remote sensing analyst in the United States is $75,010.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a GIS Remote Sensing Analyst?

GIS Remote Sensing Analysts are professionals who use Geographic Information Systems (GIS) and remote sensing technologies to collect, analyze, and interpret geographic and spatial data from satellite images, aerial photographs, and other remote sources. They help organizations understand patterns, changes, and trends in the environment by processing and mapping this data. Their work supports decision-making in fields like environmental management, urban planning, agriculture, and disaster response. They often use specialized software to analyze large datasets and create visual representations like maps and reports.

What are the key skills and qualifications needed to thrive as a GIS Remote Sensing Analyst?

To thrive as a GIS Remote Sensing Analyst, you need a solid background in geography, spatial analysis, and remote sensing principles, often supported by a relevant degree in GIS, geography, or environmental science. Proficiency with GIS software (such as ArcGIS or QGIS), remote sensing tools (like ENVI or ERDAS Imagine), and knowledge of programming languages (e.g., Python or R) are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help interpret complex data and present findings clearly. These skills and qualifications are essential for accurately analyzing geospatial data, informing decision-making, and supporting environmental or urban planning projects.

What are some common challenges faced by GIS Remote Sensing Analysts when working with large datasets, and how are they typically addressed?

GIS Remote Sensing Analysts often work with extensive geospatial and satellite data, which can present challenges such as data storage limitations, slow processing times, and ensuring data accuracy. These challenges are typically addressed by using high-performance computing resources, cloud-based platforms for data storage and processing, and advanced algorithms for data cleaning and analysis. Collaborating with IT specialists and data engineers is also common to optimize workflows and manage large volumes of spatial data efficiently.

Do GIS remote sensing analysts work remotely?

GIS remote sensing analysts often have the opportunity to work remotely, especially with the increasing use of GIS software and remote sensing tools that can be accessed online. Many roles in this field are flexible and may require collaboration through virtual platforms, though some positions may still involve on-site work depending on the employer and project needs.

Is a GIS Remote Sensing Analyst a good career?

A GIS Remote Sensing Analyst is a valuable role in fields like environmental management, urban planning, and disaster response, utilizing geographic information systems and remote sensing technologies. The career offers opportunities for growth, often requires proficiency in GIS software and remote sensing tools, and can involve working in various industries with a demand for spatial data analysis skills.

Is remote sensing and GIS a good career?

A career as a GIS Remote Sensing Analyst offers opportunities in environmental management, urban planning, and disaster response, with demand for skills in spatial analysis, data interpretation, and GIS software like ArcGIS or QGIS. The role often requires technical training, certifications, and the ability to work remotely or in field environments. Job stability and growth depend on industry needs and technological advancements in geospatial data analysis.

What cities are hiring for Gis Remote Sensing Analyst jobs?

Cities with the most Gis Remote Sensing Analyst job openings:

What states have the most Gis Remote Sensing Analyst jobs?

States with the most job openings for Gis Remote Sensing Analyst jobs include:

What are popular job titles related to Gis Remote Sensing Analyst jobs?

For Gis Remote Sensing Analyst jobs, the most frequently searched job titles are:

Infographic showing various Gis Remote Sensing Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $75,010 per year, or $36.1 per hour.

Remote Sensing Engineer

Springfield, VA • On-site, Remote

Riverside Research Institute
See more jobs at Riverside Research Instituteexternal

$97K - $135K/yr

Full-time

Re-posted 15 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.
An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.
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, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Qualifications
Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

Global Comp
$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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