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Gis Python Developer Remote Jobs in Elizabeth, NJ

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

... * DevOps (docker, kubernetes) * MLOps * Python (machine learning, Natural Language Processing, string manipulation) You care about: * Ownership: you easily communicate ideas, implement them, and ...

Two95 International Inc.

Salesforce Developer

New York, NY · Remote

$60.75 - $80.50/hr

Salesforce Developer Location : Remote Work (NYC) Duration : Contract Rate: $Best possible ... Experience with object-oriented programming languages (e.g., Java, Python). * Knowledge of the CRM ...

Two95 International Inc.

Salesforce Developer

New York, NY · On-site +1

$60.75 - $80.50/hr

Salesforce Developer Location : Remote Work (NYC) Duration : Contract Rate: $Best possible ... Experience with object-oriented programming languages (e.g., Java, Python). * Knowledge of the CRM ...

Wood Plc

Water Resources Engineer

New York, NY · Remote

$86K - $118K/yr

Work with a team of Water Resources Engineers and GIS specialists supporting various planning and water resources, flood risk management and environmental restoration projects #LI-Remote Skills ...

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All JobsGis Python Developer Remote JobsGis Python Developer Remote Jobs in Elizabeth, NJ

Gis Python Developer Remote information

See Elizabeth, NJ salary details

$13

$58

$86

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

As of Jun 26, 2026, the average hourly pay for gis python developer remote in Elizabeth, NJ is $59.00, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $67.02 per hour, depending on experience, location, and employer.

What is a GIS Python Developer (Remote)?

A GIS Python Developer (Remote) is a software developer who specializes in using the Python programming language to work with Geographic Information Systems (GIS) while working from a remote location. Their primary responsibilities include creating, maintaining, and optimizing geospatial data processing applications, automating GIS workflows, and integrating spatial data with various software platforms. They often use libraries like ArcPy, GeoPandas, and GDAL, and collaborate with teams on mapping, analysis, and visualization projects. Remote GIS Python Developers need strong programming and GIS skills, as well as the ability to communicate and manage projects virtually.

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

To thrive as a GIS Python Developer working remotely, you need strong proficiency in GIS concepts, spatial data analysis, Python programming, and a relevant degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, GDAL/OGR, and libraries like GeoPandas and Shapely, along with experience using version control systems like Git, is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating with distributed teams and managing projects independently. These skills and qualities are vital for delivering accurate geospatial solutions, ensuring effective teamwork, and adapting to a remote work environment.

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

AspectGis Python Developer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python programming skillsBachelor's in Geography, GIS, or related field; GIS software proficiency
Work EnvironmentRemote, often collaborative with development teamsOn-site or remote, focused on data analysis and mapping
Industry UsageTech, environmental, urban planning companiesGovernment agencies, consulting firms, environmental organizations
Common Search/ComparisonYesNo

Gis Python Developers remote focus on coding, software development, and automation using Python, often working on GIS applications. In contrast, GIS Analysts primarily analyze spatial data and create maps. While both roles require GIS knowledge, the developer role emphasizes programming skills and software creation, whereas the analyst role centers on data interpretation and reporting.

What are some common challenges faced by remote GIS Python Developers, and how can they be effectively addressed?

Remote GIS Python Developers often encounter challenges such as collaborating across time zones, accessing large spatial datasets, and integrating with diverse geospatial systems. Effective communication with team members using collaboration tools, establishing clear version control practices, and leveraging cloud-based geospatial platforms can help address these hurdles. Additionally, regularly participating in virtual meetings and code reviews fosters alignment and knowledge sharing among distributed teams.
What are popular job titles related to Gis Python Developer Remote jobs in Elizabeth, NJ? For Gis Python Developer Remote jobs in Elizabeth, NJ, the most frequently searched job titles are:
What job categories do people searching Gis Python Developer Remote jobs in Elizabeth, NJ look for? The top searched job categories for Gis Python Developer Remote jobs in Elizabeth, NJ are:
What cities near Elizabeth, NJ are hiring for Gis Python Developer Remote jobs? Cities near Elizabeth, NJ with the most Gis Python Developer Remote job openings:
Gis Python Developer Remote jobs near you
Infographic showing various Gis Python Developer Remote job openings in Elizabeth, NJ as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Temporary. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $122,716 per year, or $59 per hour.

Data Engineer (Python / Power BI / Cloud)

TSG Risk Management

New York, NY • On-site, Remote

$80K - $100K/yr

Contractor

Posted 8 days ago

Job description

Location Requirement
This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.
Position Overview
We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.
The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.
Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 4-6+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives

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