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Python Gis Jobs in New York (NOW HIRING)

Experience with ArcGIS APIs (JavaScript, Python, or ArcGIS Pro SDK) * Experience with spatial databases such as PostGIS or enterprise geodatabases * Experience with cloud GIS platforms or services

ArcGIS Developer

Brooklyn, NY · On-site

$48 - $52/hr

Experience using ArcGIS API for Python for "DevOps for GIS "--automating user management, content audits, and cloning environments between Dev, Test, and Production. * Mastery of the ArcGIS Maps SDK ...

... GIS tools) • Comfortable working in the current environment (10.9.1, moving to 11.3) • Ability ... knowledge of Python + .NET required, not deep mastery • Ability to jump into existing ...

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Python Gis information

See New York salary details

$14

$64

$94

How much do python gis jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for python gis in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python GIS job?

A Python GIS job involves using Python programming to analyze, visualize, and manage geographic data within Geographic Information Systems (GIS). Professionals in this role work with libraries like GeoPandas, Shapely, and ArcPy to automate spatial data processing, create maps, and develop GIS applications. These jobs are common in industries like environmental science, urban planning, and remote sensing, where spatial analysis is critical.

What are the typical day-to-day tasks for a Python GIS professional?

As a Python GIS professional, your typical day involves processing and analyzing spatial data, automating GIS workflows using Python scripts, and developing custom geospatial tools and applications. You may work closely with data analysts, environmental scientists, or urban planners to provide actionable insights from geospatial datasets. Many roles involve regular use of GIS software and Python libraries to extract, clean, and visualize data for maps and reports. Collaboration and communication are key, as you’ll often translate technical findings into user-friendly outputs for clients or non-technical team members.

What are the key skills and qualifications needed to thrive in the Python Gis position, and why are they important?

To thrive as a Python GIS professional, you need strong programming skills in Python combined with expertise in geospatial concepts and data analysis, typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS software like ArcGIS or QGIS, libraries such as GeoPandas and Shapely, and possibly certifications like GISP or Esri technical certifications are highly beneficial. Problem-solving skills, attention to detail, and the ability to communicate technical information clearly are important soft skills. These qualities are crucial for efficiently processing spatial data, building innovative geospatial solutions, and collaborating effectively within multidisciplinary teams.

What are the most commonly searched types of Python Gis jobs in New York? The most popular types of Python Gis jobs in New York are:
What are popular job titles related to Python Gis jobs in New York? For Python Gis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Gis jobs in New York look for? The top searched job categories for Python Gis jobs in New York are:
Infographic showing various Python Gis job openings in New York as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Python Developer with Power BI experience - Only W2

Saransh Inc

Warren, NJ • On-site

$52.25 - $72/hr

Contractor

Posted 24 days ago


Job description

Role: Onshore Python Developer with Power BI
Location: Warren, NJ (Hybrid - Need Onsite on a weekly basis - especially at the beginning. Usual schedule is Tue-Thu, sometimes Mon/Fri)
Job Type: W2 Contract
 
Project Description:
The goal of this project is to develop a web application on top of aggregated enterprise data.
The application may also need to integrate with Power BI dashboards, depending on final project requirements and technical feasibility.
 
Primary Responsibilities:
  • Develop and maintain web applications and backend services using Python-based frameworks.
  • Build and support APIs and data connectivity workflows between the application, enterprise systems, and data platforms.
  • Support integration with Power BI dashboards, where applicable.
  • Integrate the application with cloud data platforms such as Databricks or comparable analytics/data warehouse tools.
  • Support deployment and operationalization of enterprise web applications in collaboration with IT teams.
  • Assist with application configuration, environment setup, testing, and release management.
  • Troubleshoot deployment, connectivity, authentication, and application performance issues.
  • Collaborate with IT infrastructure, data, and business teams to gather technical requirements and implement solutions.
  • Participate in documentation, system monitoring, and ongoing application support activities.
  • Contribute to application security, authentication, and access management best practices.
  • Support GIS-related functionality if such requirements are introduced as the project matures.
Required Skills and Experience:
  • Strong experience with Python web application development.
  • Experience with modern Python web frameworks such as Flask, FastAPI, or Django.
  • Experience building or supporting web applications, backend services, and APIs.
  • Understanding of cloud-hosted applications and enterprise data connectivity patterns.
  • Experience integrating applications with Databricks or similar enterprise data/analytics platforms.
  • Familiarity with authentication and access management concepts for enterprise applications.
  • Experience with enterprise application deployment concepts and environments.
  • Familiarity with version control systems such as Git.
  • Strong problem-solving and troubleshooting skills.
  • Ability to work effectively with IT infrastructure, data, and business teams.
Preferred Qualifications:
  • Experience with Databricks integration and authentication methods.
  • Familiarity with enterprise deployment pipelines and CI/CD processes.
  • Experience with cloud platforms such as Azure.
  • Experience supporting application integration with Power BI dashboards or related reporting tools.
  • Familiarity with GIS-related application functionality or spatial data concepts.