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Geopandas Python Jobs in Fort Washington, MD (NOW HIRING)

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

... Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent • Experience with a designing and implementing a wide ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL. * Familiarity with NGA data systems, GEOINT product formats, or IC data standards. * Experience deploying ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL. * Familiarity with NGA data systems, GEOINT product formats, or IC data standards. * Experience deploying ...

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

... Python and modern ML/CV libraries such as PyTorch or TensorFlow. • Experience researching ... as GDAL, Rasterio, GeoPandas, Shapely, xarray, or Zarr. • Experience with modern ML ...

Whitespace

Data Scientist

Alexandria, VA · On-site +1

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

BlackSky

Staff Engineer, AI

Herndon, VA · On-site +1

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Whitespace

Data Scientist

Alexandria, VA · Remote

Experience with Python geospatial data analysis tools such as GeoPandas * Knowledge and experience with intelligence, collection management, targeting, Geospatial and/or imagery analysis.

BlackSky

Staff Engineer, AI

Herndon, VA · On-site

Strong proficiency in Python and modern ML/CV libraries such as PyTorch or TensorFlow. * Experience ... Hands-on experience with geospatial tools such as GDAL, Rasterio, GeoPandas, Shapely, xarray, or ...

Maxar

Applied Geospatial ML Engineer

Herndon, VA

Proficiency with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn) and geospatial libraries (e.g., gdal, geopandas, shapely) or equivalent * Experience with a designing and ...

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Geopandas Python information

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How much do geopandas python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for geopandas python in Fort Washington, MD is $60.38, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $68.61 per hour, depending on experience, location, and employer.

What is GeoPandas in Python?

GeoPandas is an open-source Python library that simplifies working with geospatial data. It extends the popular Pandas library to enable spatial operations on geometric types, such as points, lines, and polygons. With GeoPandas, users can easily read, write, and manipulate geographic data formats like Shapefile, GeoJSON, and others. It integrates well with other libraries, such as Matplotlib for visualization and Shapely for advanced geometric operations, making it a powerful tool for geographic data analysis in Python.

What is the difference between Geopandas Python vs GIS Analyst?

AspectGeopandas PythonGIS Analyst
Required CredentialsPython programming, GIS fundamentalsGIS certifications, degree in geography or related field
Work EnvironmentData analysis, scripting, codingMap creation, spatial data management, report generation
Industry UsageData science, software development, geospatial analysisUrban planning, environmental management, government agencies

Geopandas Python focuses on spatial data analysis using Python programming, ideal for data scientists and developers. GIS Analysts work with spatial data in various industries, often using GIS software and tools. While both roles involve geospatial data, Geopandas Python emphasizes coding and automation, whereas GIS Analysts focus on data management and visualization.

What are the key skills and qualifications needed to thrive as a Geopandas Python developer?

To thrive as a Geopandas Python Developer, you need a solid foundation in Python programming, geospatial data analysis, and GIS concepts, often backed by a degree in computer science or geography. Familiarity with Geopandas, Shapely, Fiona, and other geospatial libraries, as well as experience with spatial databases and data visualization tools, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver robust geospatial solutions and collaborate with team members. These skills are critical for accurately processing spatial data, generating valuable insights, and supporting data-driven decision-making in various industries.

What are some common challenges Geopandas Python developers face when working with large geospatial datasets?

Geopandas Python developers often encounter performance limitations when processing very large geospatial datasets, as Geopandas is built on top of Pandas and can be memory-intensive. Handling operations like spatial joins, dissolves, or aggregations on millions of features may lead to slowdowns or memory errors. To address these challenges, developers frequently use techniques such as chunking data, leveraging Dask for parallel computing, or integrating with more scalable libraries like PostGIS or PyGEOS. Collaborating closely with data engineers and GIS specialists can also help optimize workflows and ensure efficient data processing.
What cities near Fort Washington, MD are hiring for Geopandas Python jobs? Cities near Fort Washington, MD with the most Geopandas Python job openings:
Geopandas Python jobs near you

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted 9 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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