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Geopandas Python Jobs (NOW HIRING)

Strategic Employment

Python Engineer

Chicago, IL · Hybrid

Python experience (NumPy, GeoPandas) * Experience creating APIs from scratch (FastAPI) * AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in house

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 ...

Techvilla Solutions

Data Scientist

Addison, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Lancaster, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Wilmer, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Dallas, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Irving, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Balch Springs, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Cockrell Hill, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Highlands, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Mesquite, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Grand Prairie, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

Data Scientist

Duncanville, TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

Techvilla Solutions

TX · On-site

Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow. * Experience in ... Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial ...

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Geopandas Python information

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How much do geopandas python jobs pay per hour?

As of Aug 27, 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 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 job categories do people searching Geopandas Python jobs look for?

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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 1% Internship, 87% Full Time, 7% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Engineer

Strategic Employment

Chicago, IL • Hybrid

Contractor

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Job description

Python Engineer

An established healthcare company is looking for a driven Python Engineer to join their growing team! They're looking for someone with experience with Python frameworks, RESTful APIs, and data handling. Candidates should plan to come into the office in Chicago 1-2x/week. This is a W2 Contract position with long-term potential.

Location: Chicago (1-2x/week on site)

Requirements:

  • Python experience (NumPy, GeoPandas)

  • Experience creating APIs from scratch (FastAPI)

  • AWS SageMaker experience will be a big plus as they're in the process of bringing ML development in house

  • Relational database experience (SQL Server)

  • Strong communication and problem-solving skills
  • Self-starting mentality to drive projects forward

Benefits and Perks:

  • Medical/Dental/Vision
  • 401k Matching
  • WFH Flexibility
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About Strategic Employment Partners

Sourced by ZipRecruiter

Strategic Employment Partners (SEP) was founded in 2007, serving companies in the Greater Los Angeles area by providing Technology Recruiting and Placement Services. With the combined experience of our seasoned professionals, SEP quickly began to build strong partnerships and provide curated talent for some of the largest and fastest growing companies in Los Angeles. Since then, SEP has expanded its operations and currently has eight divisions nationwide.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Los Angeles, CA, US

Year founded

2006

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