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Geopandas 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

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies * Drive ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

iNovex Information Systems

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Data visualization capabilities with Plotly, Shapely, or GeoPandas, AMOD tool proficiency and an understanding of dataflow, and Splunk, Kibana, SQL, ELK stack, or Networking experience is a plus ...

Resilience Partners

Python ETL fluency: geopandas, psycopg2 or SQLAlchemy, requests; comfortable building staged, validated, logged pipelines, not one-off scripts. * GDAL/ogr2ogr for shapefile, geodatabase, and raster ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$119K - $188K/yr

Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies * Drive ...

Viasat, Inc.

Senior Analytics Engineer

Carlsbad, CA · On-site

$148K - $222K/yr

Develop and extend geospatial demand models using GIS tooling (H3, PostGIS, Kepler.gl, GeoPandas) to translate global market opportunity into demand projections for targeted geographies * Drive ...

Resilience Partners

GIS Data Engineer

Houston, TX · On-site

Python ETL fluency: geopandas, psycopg2 or SQLAlchemy, requests; comfortable building staged, validated, logged pipelines, not one-off scripts. * GDAL/ogr2ogr for shapefile, geodatabase, and raster ...

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

Preferred : • Geospatial data experience (H3, PostGIS, GeoPandas) • Mobility or location data experience • Embedding-based retrieval (pgvector, FAISS, vector databases) • Bandits, contextual ...

aqua IT

Senior Software Engineer (Python, AWS)

Springfield, VA · On-site

$128K - $168K/yr

Experience using Geospatial libraries like Shapely, GeoPandas, Numpy, PyProj, etc Preferred (not required): * Ability to work independently with clients or stakeholders to develop user stories for ...

New

GeoAcuity LLC

Familiarity with open-source GIS tools (QGIS, GDAL, GeoPandas) * Experience with remote sensing, imagery analysis, or UAS/drone data products * Familiarity with ArcGIS Dashboards, StoryMaps, or ...

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Geopandas information

What is GeoPandas?

GeoPandas is an open-source Python library that makes working with geospatial data in Python easier. It extends the popular pandas library to allow spatial operations on geometric types, such as points, lines, and polygons. GeoPandas enables users to perform spatial joins, plot geographic data, and read or write different geographic file formats like Shapefiles and GeoJSON. This library is widely used in fields such as geography, urban planning, and data science for geospatial analysis.

What are the key skills and qualifications needed to thrive as a geopandas data analyst?

To excel as a Geopandas Data Analyst, you need a solid background in geospatial analysis, Python programming, and data visualization, often supported by a degree in geography, GIS, or data science. Familiarity with Geopandas, Jupyter Notebooks, QGIS, and spatial databases is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex spatial data and present insights clearly. These competencies are crucial for transforming geographic data into actionable information for decision-makers.

What are some common challenges faced when working with large geospatial datasets in a geopandas role?

When working with large geospatial datasets in a GeoPandas-focused role, a common challenge is managing performance and memory usage. GeoPandas is built on top of pandas and shapely, which can struggle with very large or complex geospatial files, leading to slow processing times or even memory errors. Professionals in this role often address these issues by optimizing workflows, using spatial indexing, or integrating GeoPandas with other tools like Dask or PostGIS to handle scalability. Staying up to date with best practices and understanding the limitations of the GeoPandas ecosystem is crucial for efficiently managing large-scale spatial data projects.

What is the difference between Geopandas vs QGIS Developer?

AspectGeopandasQGIS Developer
Required credentialsPython programming, GIS knowledgeGIS certifications, programming skills
Work environmentPython scripts, data analysisDesktop GIS applications, custom plugin development
Employer and industry usageData analysis firms, research institutionsGIS consulting, environmental agencies
Common search and comparison intentData processing, spatial analysisMap creation, GIS application development

Geopandas is primarily used for spatial data analysis and manipulation within Python, ideal for data scientists and analysts. QGIS Developers focus on creating and customizing GIS applications using QGIS software. While both roles involve GIS, Geopandas emphasizes scripting and data analysis, whereas QGIS Developers work on application development and interface customization.

More about Geopandas jobs

What cities are hiring for Geopandas jobs?

Cities with the most Geopandas job openings:

What states have the most Geopandas jobs?

States with the most job openings for Geopandas jobs include:

What job categories do people searching Geopandas jobs look for?

The top searched job categories for Geopandas jobs are:

Geopandas jobs near you
Infographic showing various Geopandas job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 66% Physical, 1% Hybrid, and 33% Remote job distribution.

Python Engineer

Chicago, IL • Hybrid

Strategic Employment
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Strategic Employmentexternal

Contractor

Medical, Dental, Vision, Retirement

Re-posted 13 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

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