ZipRecruiter

Log In

2

Remote Geospatial Developer Jobs in Newark, NJ (NOW HIRING)

OXMAN

Machine Learning Research Engineer

Manhattan, NY · On-site +1

EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows ... Establish a robust pipeline for integrating remote sensing and geospatial data into generative ...

Judi Health

Full Stack Software Developer

Manhattan, NY · On-site +1

$86.40K - $136K/yr

Remote About Judi Health Judi Health is an enterprise health technology company providing a ... geospatial indexing techniques. * Proficiency targeting infrastructure as code with a security ...

NBCUniversal

Senior ML Tools Engineer

Manhattan, NY · Remote

We are seeking an ML Annotation Tools Developer with experience building the infrastructure and ... Geospatial Infrastructure: Build and host secure Map Servers to serve our proprietary data for ...

Capital Rx

Full Stack Software Developer

Manhattan, NY · On-site +1

$86.40K - $136K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to ... geospatial indexing techniques. * Proficiencytargeting infrastructure as code with a security ...

Capital Rx

Full Stack Software Developer

Manhattan, NY · On-site +1

$86.40K - $136K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to ... geospatial indexing techniques. * Proficiencytargeting infrastructure as code with a security ...

V-CENTRIX-US LLC

GIS Tech Lead

Manhattan, NY · Remote

... geospatial projects. This role involves collaborating with cross-functional teams, mentoring GIS ... Civil Engineering * Geography * Remote Sensing * Related field Technical Skills * Strong experience ...

Capital Rx

Senior Backend Software Developer

Manhattan, NY · On-site +1

$110.40K - $213K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary Join our ... geospatial indexing). * Experience with infrastructure as code using AWS, Terraform, or similar ...

Capital Rx

Senior Backend Software Developer

Manhattan, NY · On-site +1

$110.40K - $190K/yr

Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO) Position Summary Join our ... geospatial indexing). * Experience with infrastructure as code using AWS, Terraform, or similar ...

V-CENTRIX-US LLC

GIS Tech Lead

Manhattan, NY · Remote

... geospatial projects. This role involves collaborating with cross-functional teams, mentoring GIS ... Civil Engineering o Geography o Remote Sensing o Related field Technical Skills • Strong ...

next page

Showing results 1-20

People also search for

All JobsGeospatial Developer JobsRemote Geospatial Developer JobsRemote Geospatial Developer Jobs in Newark, NJ

Remote Geospatial Developer information

See Newark, NJ salary details

$65.4K

$80.9K

$96.7K

How much do remote geospatial developer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote geospatial developer in Newark, NJ is $80,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $85,700.00 per year, depending on experience, location, and employer.

What is a Remote Geospatial Developer job?

A Remote Geospatial Developer is a software developer who specializes in building applications that process, analyze, and visualize geospatial data. They work with Geographic Information Systems (GIS), remote sensing data, and mapping technologies to create solutions across industries such as environmental science, urban planning, and logistics. This role typically involves programming in languages like Python, JavaScript, or SQL, and using tools like QGIS, ArcGIS, and Google Earth Engine. Since the job is remote, developers collaborate with teams and clients virtually using communication and project management tools.

What are the key skills and qualifications needed to thrive in the Remote Geospatial Developer position, and why are they important?

To thrive as a Remote Geospatial Developer, you need a solid background in GIS principles, spatial data analysis, and programming languages such as Python or JavaScript, typically supported by a degree in geography, computer science, or a related field. Familiarity with tools like ArcGIS, QGIS, PostGIS, and cloud-based mapping platforms, as well as relevant certifications such as Esri Technical Certifications, is often required. Strong problem-solving skills, self-motivation, and effective remote communication are critical soft skills in this position. These capabilities ensure accurate project delivery, seamless teamwork across distributed teams, and the ability to quickly adapt to evolving geospatial technologies.

What are some common challenges faced by Remote Geospatial Developers, and how are they typically addressed?

Remote Geospatial Developers often encounter challenges such as managing large spatial datasets, integrating data from multiple sources, and ensuring accuracy in map visualizations. Collaboration across time zones and communicating complex spatial concepts to non-technical stakeholders can also be demanding. To address these issues, teams typically use version control systems, detailed documentation, and regular virtual meetings to stay aligned. Ongoing professional development and staying current with the latest GIS tools further help remote developers tackle technical hurdles efficiently. Effective teamwork and strong project management practices are key to successfully navigating these challenges.
More about Remote Geospatial Developer jobs
What are popular job titles related to Remote Geospatial Developer jobs in Newark, NJ? For Remote Geospatial Developer jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Geospatial Developer jobs in Newark, NJ look for? The top searched job categories for Remote Geospatial Developer jobs in Newark, NJ are:
Remote Geospatial Developer jobs near you
Machine Learning Research Engineer

Machine Learning Research Engineer

OXMAN

Manhattan, NY • On-site, Remote

Other

Posted 27 days ago

Job description

OXMAN
OXMAN is a nature-based research and design company based in Manhattan. We incubate ventures and technologies that reimagine the relationship between humanity and the natural world. Working across disciplines-from architecture and ecology to materials science and computation, we develop nature-centric solutions to critical environmental challenges.
EDEN
Nature provides humanity with services that are critical for survival: the sequestration of carbon, the filtration of water, and the production of the air we breathe. EDEN works to strengthen and regenerate these natural processes by cultivating biodiverse, resilient ecosystems that sustain life for all species-human and non-human alike.
EDEN is a digital design environment for engineering and designing ecosystems, modeling the flows, relationships, and processes that sustain them. We build tools that quantify how landscapes can be engineered to achieve specific performance goals, cooling cities, filtering water, sequestering carbon, and protecting key species, and use them to guide the design of ecologically active sites.
One hectare of well-designed landscape can sequester up to four times the annual emissions of an average home, filter enough water to support thirteen neighborhoods, and reduce ambient temperatures by more than ten degrees. EDEN enables designers to plan intentionally for these outcomes through analysis, simulation, and optimization, turning ecological function into an actionable design parameter.
Our design team works directly with clients to apply these tools toward site-specific goals, from logistics campuses and residential communities to rewilding and climate-resilient developments. Together with our clients, we are designing biodiverse, productive environments that serve both humanity and nature.
Key Responsibilities
  • Develop machine learning models for geospatial inference of key ecosystem metrics, leveraging geospatial AI to synthesize environmental data into actionable parameters for ecosystem design and simulation.
  • Develop and refine advanced deep generative models and reinforcement learning algorithms for built-environment design.
  • Contribute to decision-making frameworks that combine procedural generation with ML and data-driven optimization.
  • Collaborate with computational ecologists and data scientists to integrate generative design with ecosystem simulation models.
  • Align design outputs with ecological performance indicators such as species richness and carbon sequestration.
  • Prepare detailed technical documentation and contribute to model validation using empirical ecological data.
Key Goals and Outcomes
  • Research and development of high-fidelity Geospatial AI models for the automated inference of ecosystem metrics across varied scales.
  • Utilize inferred geospatial data to drive the computational synthesis and design of functional, resilient ecosystems.
  • Establish a robust pipeline for integrating remote sensing and geospatial data into generative design workflows.
  • Deliver scalable ML frameworks that provide real-time or near-real-time feedback on ecological performance (e.g., carbon sequestration and biodiversity).
  • Develop innovative design methods that support and enhance ecological processes through data-driven optimization.
Required Experience
  • Proven experience developing and deploying geospatial machine learning models, deep generative models, or RL algorithms in practical research problems.
  • Ph.D. or equivalent experience in Computer Science, Machine Learning, Operations Research, or related fields.
  • Demonstrated experience working in cross-functional teams bridging ML research with ecology, architecture, or design.
Preferred Experience
  • Experience with GIS tools and remote sensing technologies for geospatial analysis.
  • Prolific corpus of digital or physical expressions rooted in process-driven research and design.
  • Industry experience combined with a background in leading research and producing striking work.
Technical Skills
  • Commitment to Nature-centric principles and a willingness to integrate technology and ecology.
  • Enthusiasm for pushing boundaries in design and science with innovative thinking.
  • Self-directed with an aptitude for nurturing collaborative teamwork across disciplines
Required Education/Certifications
  • Ph.D. in a relevant field (CS, ML, OR).

Apply