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Remote Python Gis Jobs in Virginia (NOW HIRING)

Whitespace

... Python libraries such as: GeoPandas * Experience with Geographic Information Systems (GIS), including ArcGIS Pro, ArcGIS Enterprise, or QGIS. * Experience with satellite imagery, remote sensing ...

Fraym

GEOINT Customer Success Manager

Arlington, VA · On-site +1

Louis, MO area - Hybrid (On-site and Remote) What You Will Do Your responsibilities will include ... Experience with GIS software (Esri, Q-GIS, etc.) * Experience in or working with the federal ...

Leidos

Hyperspectral Image Scientist

Springfield, VA · On-site +1

$92K - $166K/yr

Python, MATLAB, ENVI/IDL, GIS, and scientific scripting * Data visualization and technical ... Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational ... Remote sensing of surface water quality, numerical modeling, GIS, leadership and advising skills ...

GRVTY

Full Stack Developer

Mclean, VA · On-site +1

$150K - $250K/yr

... Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers ... Work on this program takes place in the McLean, VA area (we cannot support remote work) and ...

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Remote Python Gis information

What is a remote Python GIS job?

A remote Python GIS job involves working with Geographic Information Systems (GIS) using the Python programming language, but from a location outside of a traditional office, such as from home or anywhere with internet access. Professionals in this role typically analyze spatial data, develop geospatial applications, and automate GIS workflows using Python libraries like GeoPandas, Shapely, and ArcPy. Remote GIS Python developers often collaborate with teams virtually, contribute to mapping projects, and help solve geographic problems across various industries such as environmental science, urban planning, and logistics.

What are the key skills and qualifications needed to thrive as a Remote Python GIS Specialist, and why are they important?

To thrive as a Remote Python GIS Specialist, you need strong expertise in Python programming, geospatial data analysis, and a background in geography, GIS, or a related field. Familiarity with tools such as ArcGIS, QGIS, and libraries like GeoPandas or GDAL, as well as experience with version control systems like Git, is typically required. Excellent problem-solving abilities, attention to detail, and effective remote communication skills help professionals excel in distributed teams. These skills are crucial for delivering accurate geospatial solutions and collaborating efficiently in a remote work environment.

How do remote Python GIS professionals typically collaborate with team members and stakeholders on geospatial projects?

Remote Python GIS professionals often work closely with cross-functional teams, including data analysts, project managers, and domain experts, using virtual communication and collaboration tools. They participate in regular video meetings, share progress via project management platforms, and use version control systems like Git to manage code collaboratively. Effective communication and clear documentation are crucial, as team members may be distributed across different time zones. Additionally, remote GIS professionals frequently present their findings and visualizations to stakeholders, adapting technical outputs for non-technical audiences.

What is the difference between Remote Python Gis vs Remote GIS Analyst?

AspectRemote Python GisRemote GIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentPrimarily remote, focused on coding and data analysisPrimarily remote, involving spatial data analysis and reporting
Industry UsageTech companies, GIS service providers, environmental agenciesGovernment agencies, urban planning, environmental consulting
Common Search & ComparisonYesYes

Remote Python Gis focuses on programming, data processing, and automation using Python in GIS contexts, while Remote GIS Analyst emphasizes spatial data analysis, mapping, and reporting. Both roles often work remotely and require GIS knowledge, but Python Gis roles are more technical and coding-oriented, whereas GIS Analysts focus on spatial data interpretation and visualization.

What are the most commonly searched types of Python Gis jobs in Virginia? The most popular types of Python Gis jobs in Virginia are:
What are popular job titles related to Remote Python Gis jobs in Virginia? For Remote Python Gis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Python Gis jobs in Virginia look for? The top searched job categories for Remote Python Gis jobs in Virginia are:
What cities in Virginia are hiring for Remote Python Gis jobs? Cities in Virginia with the most Remote Python Gis job openings:
Remote Python Gis jobs near you

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted 2 days ago

New

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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