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Remote Google Earth Engine Developer Jobs (NOW HIRING)

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

... Agricultural Engineering, Geosciences, or a closely related field with remote sensing data ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

Customer Success Manager II Brazil, Remote Welcome to Planet. We believe in using space to help ... Proficiency with tools like ArcGIS, QGIS, or Google Earth Engine. * Experience navigating data ...

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/yr

... and with remote-sensing inputs. * Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine). * A record of scientific ...

Senior Wetlands Scientist

Boulder, CO · On-site +1

$94K - $129K/yr

... and with remote-sensing inputs. * Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine). * A record of scientific ...

Utilize GIS, Google Earth, and other sources to research potential land acquisition opportunities ... Embrace a remote work environment. Strong desire to work in land acquisition. Your Education and ...

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Remote Google Earth Engine Developer information

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How much do remote google earth engine developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for remote google earth engine developer in the United States is $60.29, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $67.31 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Earth Engine Developer vs Remote GIS Analyst?

AspectRemote Google Earth Engine DeveloperRemote GIS Analyst
Required CredentialsDegree in GIS, Geography, Computer Science; experience with Google Earth EngineDegree in GIS, Geography, Environmental Science; proficiency in GIS software
Work EnvironmentRemote, often collaborative with developers and data scientistsRemote, often analytical and reporting-focused
Industry UsageEnvironmental monitoring, climate analysis, remote sensing projectsUrban planning, resource management, spatial data analysis
Search & Comparison IntentTechnical, development-focused roles involving coding and data processingData analysis, mapping, and reporting roles using GIS tools

The main difference is that Remote Google Earth Engine Developers focus on coding and developing applications using Google Earth Engine for remote sensing data, while Remote GIS Analysts primarily analyze spatial data and generate reports using GIS software. Both roles require GIS knowledge but differ in technical depth and project focus.

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Infographic showing various Remote Google Earth Engine Developer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $125,398 per year, or $60.3 per hour.

Earth Engine/GeoTiff Machine Learning Engineer

Remote

US Tech Solutions
IT Services • 1 - 5K employees

Full-time

Re-posted 18 days ago


Job description

Job Summary:
US Tech Solutions is a global staff augmentation firm, and they are seeking an Earth Engine/GeoTiff Machine Learning Engineer. The role involves developing machine learning models for environmental applications and maintaining cloud infrastructure.
Responsibilities:
• Develop Machine Learning (ML) and physics-based models for Earth systems applications where Machine Learning (ML) can bring hockey stick growth.
• Present findings to team members, internal and external stakeholders, and help set a direction for future development.
• Design and run Machine Learning (ML) simulations for environmental phenomena such as wildfires.
• Fetch and pre-process geospatial and multimodal data in a highly parallel environment.
• Create and maintain Client’s Cloud infrastructure for software development and high-volume production systems.
Qualifications:
Required:
• Experience with earth engine and functional programming.
• Experience with machine learning systems, algorithms, or applications such as: deep learning, computer vision.
• Completed coursework in calculus, linear algebra, and probability, or their equivalent.
• Experience with one or more general purpose programming languages, including but not limited to: Python.
• Experience with open-source tools such as git, TensorFlow, etc.
• Bachelor’s Degree or equivalent practical experience.
Preferred:
• Experience with tiffs and tiff projections into physical spaces (aka GeoTiff) would be a plus.
• Experience with using Machine Learning (ML) on image files and images that change over time would be a plus.
Company:
US Tech Solutions counted among the largest yet the fastest growing staffing firm; all achieved organically. Founded in 2000, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.

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About US Tech Solutions

Sourced by ZipRecruiter

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

2000

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