ZipRecruiter

Log In

1

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

Leidos

Python Software Engineer

Gaithersburg, MD · On-site

Solid understanding of modern Python libraries and frameworks, including GeoPandas, Fiona, Pillow, PyTesseract, and XMLDiff, with experience developing geospatial, document-processing, and data ...

Leidos

Python Software Engineer

Gaithersburg, MD · Hybrid

Solid understanding of modern Python libraries and frameworks, including GeoPandas, Fiona, Pillow, PyTesseract, and XMLDiff, with experience developing geospatial, document-processing, and data ...

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 ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA

$148K - $222K/yr

Hands-on GIS and geospatial analysis experience (e.g., H3, PostGIS, GeoPandas, Kepler.gl, or equivalent tooling) * Strong SQL and cloud data warehouse experience (BigQuery preferred) * Python ...

next page

Showing results 1-20

All JobsGeopandas Python Jobs

Geopandas Python information

See salary details

$13

$58

$86

How much do geopandas python jobs pay per hour?

As of Jul 14, 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.

Which Python job is in demand?

Python development roles, such as data analyst, data scientist, backend developer, and automation engineer, are currently in high demand across various industries. Skills in libraries like Pandas, NumPy, and frameworks such as Django or Flask increase employability, and certifications can enhance job prospects in this competitive field.

How to work with GeoPandas?

Working with GeoPandas involves importing the library in Python, loading spatial data using functions like read_file(), and performing geospatial operations such as plotting, spatial joins, and data manipulation. Familiarity with pandas and shapely enhances the ability to analyze and visualize geographic data effectively.
More about Geopandas Python jobs
What cities are hiring for Geopandas Python jobs? Cities with the most Geopandas Python job openings:
What states have the most Geopandas Python jobs? States with the most job openings for Geopandas Python jobs include:
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 July 2026, with employment types broken down into 17% Internship, 1% Full Time, 76% Part Time, and 6% Temporary. Highlights an 78% Physical, 5% Hybrid, and 17% 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

Re-posted 11 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
Strategic Employment Partners logo

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

Social media

FacebookTwitter

View All Strategic Employment Partners Jobs

Apply