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Geopandas Python Jobs in Annapolis Junction, MD (NOW HIRING)

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Experience with Pandas data frames and aggregation using Python is required. Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow ...

All JobsGeopandas Python JobsGeopandas Python Jobs in Annapolis Junction, MD

Geopandas Python information

See Annapolis Junction, MD salary details

$14

$64

$94

How much do geopandas python jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for geopandas python in Annapolis Junction, MD is $64.41, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $73.17 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.

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What cities near Annapolis Junction, MD are hiring for Geopandas Python jobs?

Cities near Annapolis Junction, MD with the most Geopandas Python job openings:

Geopandas Python jobs near you

Software Engineer - Geospatial ETL

Sphinx Solutions, Inc.

Bethesda, MD • On-site

Full-time

Posted 2 days ago

New

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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