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Geopandas Jobs (NOW HIRING)

Lightshift Energy

GIS Analyst

Arlington, VA · On-site

$85K - $110K/yr

Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows * Strong attention to data quality; ability to ...

GeoAcuity LLC

GIS Analyst

Los Angeles, CA · On-site

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 ...

Lightshift Energy

GIS Analyst

Arlington, VA · On-site

$85K - $110K/yr

Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows * Strong attention to data quality; ability to ...

GRVTY

Data Scientist, Expert

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

GRVTY

Data Scientist, Mid

Arnold, MO · On-site

Demonstrated experience with relevant Python libraries including Pandas and Geopandas. * Advanced experience using Python to automate complex workflows and integrate with cloud services. * Proven ...

Spatial Front, Inc

Senior Python Developer

Suitland, MD · On-site +1

$100K - $150K/yr

Experience with geospatial tools and libraries such as ArcGIS, GeoPandas, or QGIS Certifications (Preferred) * Relevant technical certifications (e.g., Python, cloud, or GIS-related certifications ...

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$80 - $88/hr

Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar) * Deep experience with PostgreSQL and PostGIS for spatial querying and data ...

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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.

GIS Analyst

Arlington, VA • On-site

Lightshift Energy
See more jobs at Lightshift Energyexternal

$85K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

Description:

Description of Role:

The GIS Analyst is a core member of the Analytics team, owning the geospatial function end-to-end — from parcel screening and site selection to ArcGIS Online administration and data pipeline maintenance. This role works closely with development, origination, and data engineering to support project siting, strategic analyses, and application development across multiple states and organized power markets.


Key responsibilities will include:

  • Lead parcel-level site screening and constraint analysis to support BESS development across target states
  • Administer ArcGIS Online (AGOL) — manage users, hosted layers, web maps, dashboards, and data pipelines; maintain organized, production-ready content
  • Build and maintain siting notebooks and Python-based geospatial scripts
  • Integrate data from vendors into Lightshift’s GIS platform and manage vendor relationships
  • Produce maps and spatial exports for commercial, development and leadership presentations
  • Maintain the multi-state GIS data library and state-specific project data in SharePoint and GitHub
  • Coordinate annual vendor contract renewals and update recurring datasets on a regular cadence
  • Monitor new developments across the GIS and energy industries that can improve Lightshift’s analytics toolset
  • Conceptualize and execute enhanced analytic approaches and strategic initiatives to improve company siting, strategy, and competitive advantage

Location:

Washington, DC Metro Area


Compensation & Benefits:

  • This position offers a salary range of $85,000 – $110,000, commensurate with experience.
  • Full benefits package, including 401k, health/dental/vision insurance, paid vacation, paid sick leave, paid holidays, and short-term disability.
Requirements:

Requirements:

  • GIS degree, certificate, and/or 1-5 years of relevant GIS experience in a professional setting
  • Quantitative undergraduate degree (e.g., Geography, Environmental Science, Engineering, Mathematics, or Data Science)
  • Proficiency in ArcGIS Pro and ArcGIS Online; experience managing hosted layers, pipelines, and organizational content
  • Proficiency with Python for geospatial tasks (e.g., GeoPandas, Shapely) and comfort with GitHub-based and AI-supported software development workflows 
  • Strong attention to data quality; ability to troubleshoot CRS mismatches, invalid geometries, and schema changes
  • Excellent communication skills and alignment with Lightshift’s core values (Innovative, Collaborative, Trustworthy)

Preferred Qualifications: 

  • Experience supporting renewable energy or battery storage development — including parcel screening, interconnection, siting, or land acquisition workflows
  • Familiarity with grid infrastructure data sources and energy community datasets
  • Experience building or maintaining Streamlit or similar lightweight web applications 
  • Exposure to PostGIS or other spatial databases 

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