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Freelance Python Gis Developer Jobs in Boston, MA

Property Data Specialist

Boston, MA ยท On-site

$85K - $95K/yr

Competent and proven analytical skills and programming experience in R/Python and SQL * Excellent ... Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a ...

Property Data Specialist

Boston, MA ยท On-site

$85K - $95K/yr

Competent and proven analytical skills and programming experience in R/Python and SQL * Excellent ... Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a ...

Science Associate

Cambridge, MA ยท On-site

$70K - $90K/yr

Our staff applies expertise in economics, science, engineering, business, computer modeling, and ... data analysis (e.g., Python, R, Excel), application of statistical methods, GIS, or other ...

Understanding of GIS and spatial concepts, tools, processes * Understanding of basic relational ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

Understanding of GIS and spatial concepts, tools, processes * Understanding of basic relational ... Programming skills in python, R, JavaScript or similar Additional Information Location: Remote ...

Science Associate

Cambridge, MA ยท On-site

$70K - $90K/yr

Our staff applies expertise in economics, science, engineering, business, computer modeling, and ... data analysis (e.g., Python, R, Excel), application of statistical methods, GIS, or other ...

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Freelance Python Gis Developer information

See Boston, MA salary details

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How much do freelance python gis developer jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for freelance python gis developer in Boston, MA is $63.69, according to ZipRecruiter salary data. Most workers in this role earn between $52.50 and $72.36 per hour, depending on experience, location, and employer.

How do Freelance Python GIS Developers typically collaborate with clients and other team members on projects?

Freelance Python GIS Developers usually work remotely and rely heavily on digital communication tools to collaborate with clients, project managers, and other developers. They often participate in regular video meetings, share progress via project management platforms, and use version control systems like Git to manage code. Clear documentation and prompt feedback are essential, as freelancers may be coordinating with teams across different time zones. Building strong communication skills and setting clear expectations with clients helps ensure project milestones are met efficiently.

What is the difference between Freelance Python Gis Developer vs GIS Analyst?

AspectFreelance Python GIS DeveloperGIS Analyst
Required CredentialsProficiency in Python, GIS software, and sometimes certifications in GIS or programmingBachelor's degree in Geography, GIS, or related field; certifications like GISP are common
Work EnvironmentIndependent, project-based, often remote or freelanceTypically employed full-time in offices, government agencies, or consulting firms
Industry UsageUsed across various industries for custom GIS solutions and data analysisPrimarily in urban planning, environmental management, and government sectors

While both roles involve GIS data, Freelance Python GIS Developers focus on coding and custom solutions, often working independently, whereas GIS Analysts handle data analysis and reporting within organizations.

What does a Freelance Python GIS Developer do?

A Freelance Python GIS Developer specializes in creating, maintaining, and optimizing applications or scripts that handle geographic information system (GIS) data using the Python programming language. They often work with spatial data, build custom GIS tools, automate data processing tasks, and integrate GIS functionalities into web or desktop applications. These professionals usually collaborate with clients on a project basis, offering expertise in libraries such as GeoPandas, Shapely, and ArcPy. Their work enables organizations to analyze and visualize spatial data effectively for decision-making and research.

What are the key skills and qualifications needed to thrive as a Freelance Python GIS Developer, and why are they important?

To thrive as a Freelance Python GIS Developer, you need a solid understanding of Python programming, geospatial concepts, and experience with GIS platforms, often supported by a degree in computer science, geography, or a related field. Proficiency in tools like QGIS, ArcGIS, GDAL, and libraries such as GeoPandas and Shapely is essential, along with familiarity with version control systems like Git. Strong problem-solving, self-management, and communication skills help you manage projects independently and collaborate effectively with clients. These skills and qualities are critical for delivering quality geospatial solutions, meeting client needs, and succeeding in a competitive freelance environment.
What are popular job titles related to Freelance Python Gis Developer jobs in Boston, MA? For Freelance Python Gis Developer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Freelance Python Gis Developer jobs in Boston, MA look for? The top searched job categories for Freelance Python Gis Developer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Freelance Python Gis Developer jobs? Cities near Boston, MA with the most Freelance Python Gis Developer job openings:
Infographic showing various Freelance Python Gis Developer job openings in Boston, MA as of June 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 79% In-person, 14% Hybrid, and 7% Remote job distribution, with an average salary of $132,468 per year, or $63.7 per hour.
Property Data Specialist

Property Data Specialist

Karen Clark & Company

Boston, MA โ€ข On-site

$85K - $95K/yr

Full-time

Posted 6 days ago


Job description

Property Data Specialist

KCC seeks a Property Data Specialist to join our growing team of risk modeling experts. KCC develops models to estimate the risk from all types of natural perils including tropical cyclones, wildfires, severe convective storms, and earthquakes. KCC scientists and engineers create stochastic sets of potential future scenarios that are overlayed on geospatially distributed building and replacement cost data. These geospatial databases are developed by the exposure development team for countries around the world.

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to (re)insurance company executives nationwide. These services enhance business strategies, and the financial results put our clients at a competitive advantage. KCC catastrophe models currently cover tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 50 countries. For more information, please visit www.kcc.us.com.

Expected Salary Range: $85,000-$95,000

Responsibilities

  • Develop detailed databases of residential, commercial, and industrial properties by investigating, analyzing, and synthesizing multiple internal and external datasets
  • Stay current with global population and construction trends
  • Develop innovative and efficient computational methods to process large spatial datasets across multiple data types and structures
  • Prepare reports and presentations that describe results of completed and ongoing developments
  • Support model development and client facing teams with geospatial calculations and visualizations

Qualifications

  • Master's degree in Geography, Economics, Statistics, or related field and 2-3 years work experience
  • Competent and proven analytical skills and programming experience in R/Python and SQL
  • Excellent oral and written communication skills, keen orientation to detail, an eye for professional presentation, and recognized organizational abilities
  • Experience with GIS software suite (ArcGIS suite or QGIS) handling both vector and raster data a plus
  • Proven experience using ArcPy or PyQGIS, GDAL, RasterIO, and C# and .NET, a plus