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Geopandas Python Jobs (NOW HIRING)

GeoDelphi

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 ...

RINA

North America GIS Developer

Chicago, IL · On-site

... Python spatial analysis packages such as ArcPy, GeoPandas, or Fiona. - Strong knowledge of databases (e.g., PostgreSQL/PostGIS, SQL Server, Oracle) and spatial queries. - Familiarity with version ...

GeoDelphi

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

GeoDelphi

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 ...

GeoDelphi

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 ...

Stantec

Transportation Analyst (Modeling)

Denver, CO · On-site

$85K - $119K/yr

Automate data processing and analysis workflows using Python, SQL, and Excel. * Collaborate with ... Familiarity with GIS tools such as ArcGIS, QGIS, or GeoPandas. * Understanding of travel demand ...

Deloitte

GenAI Engineer

Rosslyn, VA

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

RINA

North America GIS Developer

Chicago, IL · On-site

... Python spatial analysis packages such as ArcPy, GeoPandas, or Fiona. - Strong knowledge of databases (e.g., PostgreSQL/PostGIS, SQL Server, Oracle) and spatial queries. - Familiarity with version ...

ECS

Senior Data Scientist

Springfield, VA · On-site

Python with GeoPandas/ArcPy, ArcObjects, GIScience techniques. • Full-stack development capabilities: JavaScript/HTML5, .NET, C++, Java. • Database technologies: Oracle, SQL, PostgreSQL ...

RINA

North America GIS Developer

Chicago, IL · On-site

... Python spatial analysis packages such as ArcPy, GeoPandas, or Fiona. - Strong knowledge of databases (e.g., PostgreSQL/PostGIS, SQL Server, Oracle) and spatial queries. - Familiarity with version ...

RINA

North America GIS Developer

Chicago, IL

... Python spatial analysis packages such as ArcPy, GeoPandas, or Fiona. - Strong knowledge of databases (e.g., PostgreSQL/PostGIS, SQL Server, Oracle) and spatial queries. - Familiarity with version ...

Deloitte

Senior GenAI Engineer

Rosslyn, VA · On-site

$119K - $163K/yr

Familiarity or experience with Python libraries/pkgs such as pandas, NumPy, GeoPandas, requests, urllib3, Matplotlib, plotly, scikit-learn, sciPy, OpenCV, GDAL, Keras, PyTorch, TensorFlow, NLTK ...

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How much do geopandas python jobs pay per hour?

As of Jun 22, 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 GeoPandas used for in Python?

GeoPandas is a Python library used by geospatial data analysts and GIS professionals to simplify working with geographic data. It extends the pandas library to include spatial operations, enabling users to read, write, analyze, and visualize geospatial data such as shapefiles and GeoJSON files efficiently.

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, and why are they important?

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 highest paying Python job?

The highest paying Python jobs are typically senior roles such as Machine Learning Engineer, Data Scientist, or Software Architect, often requiring advanced skills in AI, data analysis, and cloud computing. Salaries can exceed $150,000 annually, especially in industries like finance, technology, and consulting, with experience and certifications further increasing earning potential.

What are the most in demand jobs in Python?

In Python, the most in-demand jobs include data scientist, software developer, machine learning engineer, and data analyst. These roles often require skills in libraries like Pandas and GeoPandas, along with knowledge of data visualization, algorithms, and sometimes geographic information systems (GIS). Proficiency in Python programming and relevant frameworks increases employability in these fields.

Are Python coders still in demand?

Python coders, including those working with Geopandas and other data analysis libraries, are in high demand due to the language's versatility in data science, automation, and web development. Skills in Python, along with knowledge of relevant tools and frameworks, continue to be valuable across many industries and roles.
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Geopandas Python jobs near you
Infographic showing various Geopandas Python job openings in the United States as of June 2026, with employment types broken down into 43% Part Time, and 57% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Scientific Computing & Geospatial Engineer

Lynker

Tuscaloosa, AL • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Lynker is a growing, employee-owned business specializing in professional, scientific and technical services. They are seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure, contributing to national-scale flood forecasting and terrain analysis.
Responsibilities:
• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows
• Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF
• Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale
• Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software
• Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery
• Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems
• Apply modern software practices including Docker, CI/CD, and automated testing across all development work
• Perform related duties as assigned
Qualifications:
Required:
• Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus)
• 3+ years of relevant software development experience
• Strong scientific Python experience including numpy, pandas, xarray, and geopandas
• Experience processing large geospatial or environmental datasets using GDAL or equivalent tools
• Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches
• Experience with AWS storage and compute workflows (S3, EC2, batch)
• Solid software engineering fundamentals — version control, testing, CI/CD, Docker
• Ability to work independently on complex assignments and deliver sound technical recommendations
• Strong written and oral communication skills for documentation and cross-disciplinary collaboration
Preferred:
• Experience with Rust for high-performance scientific or geospatial computing
• Background in flood inundation mapping, hydrologic modeling, or remote sensing
• Cloud infrastructure automation using Terraform or AWS CDK
• HPC or accelerated computing experience
• Experience with ensemble or gridded meteorological data formats
Company:
Lynker provides innovative solutions to support global environmental security and economic prosperity. Founded in 2007, the company is headquartered in Leesburg, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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