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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

Gormat

Data Scientist 4

Annapolis Junction, MD

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 ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/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 ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/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 ...

System Soft Technologies

Geocode Engineer

Python (h3, shapely, geopandas, pyproj) * Understanding of hierarchical spatial indexing * Strong geospatial fundamentals (CRS, projections, distortion) * Experience with spatial SQL - PostgreSQL or ...

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 ...

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

... Python (NumPy, Pandas, FastAPI, SQLAlchemy) • Strong SQL and modern data warehouse experience ... Preferred : • Geospatial data experience (H3, PostGIS, GeoPandas) • Mobility or location data ...

Prophecy Technologies

GIS Architect

Oakland, CA · On-site

... Python libraries such as GDAL, GeoPandas, and ArcPy • Perform advanced spatial analysis including clustering, spatial regression, and geospatial modeling • Support deployment, monitoring, and ...

City of Lawrence Kansas

GIS ANALYST

Lawrence, KS · On-site

$28.40 - $31.33/hr

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

Tata Consultancy Service Limited

GIS Architect

Seattle, WA · On-site

$140K - $160K/yr

... Python libraries (e.g., GDAL, GeoPandas, ArcPy) and perform advanced spatial analysis, including clustering, spatial regression applications. • Support deployment and performance tuning of GIS ...

cityoflawrence

GIS ANALYST

Lawrence, KS

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

cityoflawrence

GIS ANALYST

Lawrence, KS

Prefer experience with ArcGIS, ArcPy, pandas/GeoPandas, SQL spatial queries, GISP designation, AutoCad, Python programming, computer drafting, and engineering principles. Experience in asset ...

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Geopandas Python information

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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.
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 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.
Python Engineer

Python Engineer

Strategic Employment

Chicago, IL • Hybrid

Other

Medical, Dental, Vision, Retirement

Posted 18 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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