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Geopandas Python Jobs (NOW HIRING)

Jobgether

$94K - $124K/yr

Strong Python programming skills with hands-on experience using geospatial libraries such as GDAL, Rasterio, Shapely, Fiona, and GeoPandas. * Experience with scientific Python tools including NumPy ...

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 ...

Whitespace

Software Engineer

Alexandria, VA · On-site +1

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

GRVTY

Data Scientist, Expert

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Mid

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

CACI International, Inc.

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

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

GRVTY

Data Scientist, Expert

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Mid

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

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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How much do geopandas python jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for geopandas python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.
More about Geopandas Python jobs
What cities are hiring for Geopandas Python jobs? Cities with the most Geopandas Python job openings:
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What job categories do people searching Geopandas Python jobs look for? The top searched job categories for Geopandas Python jobs are:
Geopandas Python jobs near you
Infographic showing various Geopandas Python job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Visiting Scientist (San Francisco Office)

Planet

San Francisco, CA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Planet is a company that designs, builds, and operates the largest constellation of imaging satellites in history. They are seeking a highly motivated Visiting Scientist to join their AI Research team to develop proprietary geospatial foundation models optimized for their unique imagery.
Responsibilities:
• Contribute to the design and training of a foundation model specifically optimized for Planet imagery, focusing on the integration of time-series data.
• Execute the systematic evaluation of existing GFM architectures (e.g., TerraMind, Prithvi, Clay) against PlanetScope data to identify performance bottlenecks and transferability.
• Build and test workflows for detecting short-lived events, such as floods and fires, using high-cadence embeddings.
• Develop methods to integrate PlanetScope with Sentinel-1 SAR and other commercial datasets to maintain time-series continuity under cloud cover.
• Work closely with Planet’s research scientists to transition experimental prototypes into scalable, operational products.
• Co-author findings for publication in top-tier journals and present research at leading conferences like IGARSS or CVPR.
Qualifications:
Required:
• A recently completed PhD in Geospatial Analytics, Computer Science, Remote Sensing, or a related field.
• Demonstrated experience in building AI-based models for environmental change or satellite image analysis.
• Hands-on experience with foundation models, contrastive learning, and deep learning frameworks (PyTorch/TensorFlow).
• Expert-level Python skills and proficiency with the geospatial scientific stack (e.g., xarray, Dask, Rasterio, GeoPandas).
• Experience building automated pipelines for preprocessing and labeling planetary-scale datasets.
• Experience working within a research lab environment and a strong desire to apply academic rigor to industry challenges.
Preferred:
• Prior research in flood-extent mapping, water dynamics, or disaster response.
• Direct experience fine-tuning or modifying specific GFM architectures like TerraMind, Prithvi, or Clay.
• Proven ability to work with a variety of sensors including PlanetScope, Landsat, and Sentinel-1/2.
• A history of developing 'human-in-the-loop' workflows or active learning strategies for labeling time-sensitive data.
Company:
Planet is an aerospace and data analytics company that builds small satellites and delivers information about the changing planet. Founded in 2010, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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