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

Lightshift Energy

GIS Analyst

Arlington, VA · On-site

$85K - $110K/yr

Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows * Strong attention to data quality; ability to ...

Lightshift Energy

GIS Analyst

Arlington, VA · On-site

$85K - $110K/yr

Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows * Strong attention to data quality; ability to ...

Whitespace

Software Engineer

Alexandria, VA · Remote

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

CACI

Data Scientist - Mid

Springfield, VA · On-site

$69K - $141K/yr

Work with modern Python-based tooling in an Agile, mission-focused delivery environment. Grow your ... Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

$150 - $200/hr

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 ...

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Geopandas Python information

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$13

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$88

How much do geopandas python jobs pay per hour?

As of Sep 9, 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 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 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 job categories do people searching Geopandas Python jobs in Fort Washington, MD look for?

The top searched job categories for Geopandas Python jobs in Fort Washington, MD are:

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

Geospatial Data Systems Engineer (TS/SCI + Poly)

Mclean, VA • On-site

Aperio Global
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees
Learn more about Aperio Globalexternal

Full-time

Re-posted 4 days ago

Job description

Senior Geospatial Data Engineer
TS/SCI with Polygraph Required
McLean VA

At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You'll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.

What You'll Do
Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

Required Qualifications
Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

160-220k

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