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Geopandas Jobs in Silver Spring, 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 ...

CACI

Data Scientist - Mid

Springfield, VA · On-site

$69K - $141K/yr

Exposure to geospatial data and tools (ArcGIS, QGIS, GeoPandas). Familiarity with machine learning frameworks and model deployment. Experience operating within SAFe or Agile delivery frameworks ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site

$150 - $210/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 ...

vetegrity

Senior Data Scientist

Annapolis Junction, MD · On-site

$170K/yr

... GeoPandas, Kibana, Elastic, SQL, Jupyter) - Experience with ETL workflows, batch/incremental data ingestion, and robust error handling - Ability to automate analytic and reporting processes ...

Lafayette Group Inc.

GIS Consultant

Washington, DC · On-site

$80K - $110K/yr

Proven experience scripting in Python (e.g., ArcPy, GeoPandas) to automate spatial and non-spatial data processes. * Skilled at communicating complex geospatial and data concepts in a clear ...

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Geopandas information

What is GeoPandas?

GeoPandas is an open-source Python library that makes working with geospatial data in Python easier. It extends the popular pandas library to allow spatial operations on geometric types, such as points, lines, and polygons. GeoPandas enables users to perform spatial joins, plot geographic data, and read or write different geographic file formats like Shapefiles and GeoJSON. This library is widely used in fields such as geography, urban planning, and data science for geospatial analysis.

What are the key skills and qualifications needed to thrive as a geopandas data analyst?

To excel as a Geopandas Data Analyst, you need a solid background in geospatial analysis, Python programming, and data visualization, often supported by a degree in geography, GIS, or data science. Familiarity with Geopandas, Jupyter Notebooks, QGIS, and spatial databases is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex spatial data and present insights clearly. These competencies are crucial for transforming geographic data into actionable information for decision-makers.

What are some common challenges faced when working with large geospatial datasets in a geopandas role?

When working with large geospatial datasets in a GeoPandas-focused role, a common challenge is managing performance and memory usage. GeoPandas is built on top of pandas and shapely, which can struggle with very large or complex geospatial files, leading to slow processing times or even memory errors. Professionals in this role often address these issues by optimizing workflows, using spatial indexing, or integrating GeoPandas with other tools like Dask or PostGIS to handle scalability. Staying up to date with best practices and understanding the limitations of the GeoPandas ecosystem is crucial for efficiently managing large-scale spatial data projects.

What is the difference between Geopandas vs QGIS Developer?

AspectGeopandasQGIS Developer
Required credentialsPython programming, GIS knowledgeGIS certifications, programming skills
Work environmentPython scripts, data analysisDesktop GIS applications, custom plugin development
Employer and industry usageData analysis firms, research institutionsGIS consulting, environmental agencies
Common search and comparison intentData processing, spatial analysisMap creation, GIS application development

Geopandas is primarily used for spatial data analysis and manipulation within Python, ideal for data scientists and analysts. QGIS Developers focus on creating and customizing GIS applications using QGIS software. While both roles involve GIS, Geopandas emphasizes scripting and data analysis, whereas QGIS Developers work on application development and interface customization.

What are popular job titles related to Geopandas jobs in Silver Spring, MD?

For Geopandas jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Geopandas jobs in Silver Spring, MD look for?

The top searched job categories for Geopandas jobs in Silver Spring, MD are:

Geopandas jobs near you

Software Engineer - Geospatial ETL

Sphinx Solutions, Inc.

Bethesda, MD • On-site

Full-time

Posted 9 days ago

Job description

Position Description
-Geospatial - 5-10+ years' experience working with proprietary and open-source geospatial data formats.
-Development - Experience with geospatial software API's for data transformation and analysis:
-Esri ArcPoly
-GDAL
-GeoPandas (optionally, PySAL or MovingPandas)
-Data Automation - Experience with automating geospatial data workflows through tools like
-ArcGIS GeoEvent Server
-ArcGIS Workflow Manager
-Apache Nifi
-Geospatial Databases/Datastores:
-ArcGIS Enterprise Database
-Postgres
-GeoMesa
-Experience with ETL tools such as SAFE FME
Required Skills:
-Python

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