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Geopandas Python Jobs in Florida (NOW HIRING)

Geopandas Python information

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.
What job categories do people searching Geopandas Python jobs in Florida look for? The top searched job categories for Geopandas Python jobs in Florida are:

Senior Geospatial Data Scientist (Address and Geocoding)

Cotality

Sunrise, FL โ€ข Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 11 days ago


Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

The Product You Will Help Advance

You will play a strategic role in advancing the capabilities of Cotality's flagship geocoding product. The enterprise geocoder is a core service that supports almost all of our property and location intelligence products, and serves billions of requests per month from external and internal customers.

The Team You Will Join

You will join a cross-functional team of product managers, geospatial data scientists, software engineers and architects engaged in the mission of providing best in class address standardization and geocoding services to our external and internal customers.

Job Responsibilities:

The Work You Will Do:

  • Complex Parsing: Build robust systems to handle the nuances of US addressing, including rural routes, high-rise secondary units, fractional addresses, non-postal locations, multiple valid address representations, and vanity address components.

  • Precision Engineering: Innovate new mechanisms to transition geolocation precision from areal (e.g., Postal, Census centroids) to specific (e.g., Parcel, Rooftop centroids) to differentiated (e.g., Front Door, Loading Dock, Drop-Off Points, etc.).

  • Spatial Verification: Develop validation loops using multiple contributor data sources to verify that geocoded points link to other terrestrial datasets which link back to the original geocoded points.

  • Spot Verification: Evaluate and benchmark third-party geocoding services (e.g., Google, Mapbox, Overture Maps, etc.) vs. in-house builds to validate consistency and/or differentiation.

  • Quality Frameworks: Evolve automated "confidence" scoring systems to measure and report on the "health" of our addressing and geocoding data over time.

  • Ideate, iterate and implement enhancements to the geocoding stack to unlock higher accuracy, explainability and currency

  • Perform hands-on experimentations using modern open-source, cloud native geospatial tools, and collaborate with engineering team to take features from idea to production

  • Data Licensing Evaluations: Work with in-house data acquisition team to evaluate data vendors to ensure we are using best in class data while remaining competitive

  • Evangelism: Drive awareness and education of address hygiene internally within the company as well as to externally to customers

Job Qualifications:

The Skills and Experience You Bring To The Table

Domain Skills:

  • Mastery of USPS CASS/NCOA processes, TIGER data, and the nuances of the US postal system

  • Experience of working with commercial as well as publicly available road networks datasets

  • US land parcel data and relationship to addresses

  • Census data

  • 5+ years of relevant experience

Technical Skills

Must Have:

  • Be able to prototype and demonstrate ideas through hands-on coding in a Jupyter notebook oriented environment

  • Python and SQL coding skills are a must

  • Emphasis on geospatial and address and routing focused on Python libraries

    • Geopandas, Shapely, Proj, Kepler/Pydeck

    • Libpostal

    • Valhalla

  • Spatial data formats

    • Legacy formats such as shapefiles

    • Modern formats such as geojson, geoparquet, fgb

  • PostGIS spatial SQL

  • GDAL command line tools

  • QGIS

  • Working knowledge of REST APIs, JSON structures, PostMan

  • Statistics fundamentals

Nice To Have:

  • Bachelor's Degree or Equivalent Work History

  • Some experience with a BigData stack such as Apache Spark

  • Cloud based spatial analytics platforms such as Carto

  • Geospatial pattern matching/recognition algorithms

#LI-Hybrid

Annual Pay Range:

93,200 - 115,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2026-06-26

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights, depending on role classification, include:

  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.

  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.

  • Health: Multiple medical plan options with mental health and wellness support offerings.

  • Retirement: 401(k) with company match and vesting after one year.

  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.

  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunityemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. Cotalitymaintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.

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