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Entry Level Google Earth Engine Developer Jobs (NOW HIRING)

D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

... engineering and management review; Apply geospatial analysis and mapping skills using AGIS and Google Earth Pro to evaluate transmission corridors, access routes, staging areas, and spatial ...

... engineering and management review; Apply geospatial analysis and mapping skills using AGIS and Google Earth Pro to evaluate transmission corridors, access routes, staging areas, and spatial ...

... engineering and management review; Apply geospatial analysis and mapping skills using AGIS and Google Earth Pro to evaluate transmission corridors, access routes, staging areas, and spatial ...

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As of Sep 13, 2026, the average hourly pay for entry level google earth engine developer in the United States is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $30.77 per hour, depending on experience, location, and employer.

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Infographic showing various Entry Level Google Earth Engine Developer job openings in the United States as of September 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,500 per year, or $27.6 per hour.

Earth Engine/GeoTiff Machine Learning Engineer

Remote

US Tech Solutions
IT Services • 1 - 5K employees

Full-time

Re-posted 19 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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