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Google Earth Engine Developer Jobs (NOW HIRING)

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Google Earth Engine Developer information

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

As of Jul 12, 2026, the average hourly pay for google earth engine developer in the United States is $22.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Earth Engine Developer position, and why are they important?

To thrive as a Google Earth Engine Developer, you need a solid background in remote sensing, geospatial data analysis, and programming languages such as JavaScript or Python, often supported by a relevant degree in geography, computer science, or a related field. Familiarity with Google Earth Engine, cloud-based GIS tools, and certifications in GIS or Earth observation technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively across multidisciplinary teams are important soft skills. These capabilities are essential for efficiently handling large spatial datasets, delivering impactful geospatial solutions, and ensuring successful project outcomes.

What is a Google Earth Engine Developer job?

A Google Earth Engine Developer is responsible for leveraging Google's cloud-based geospatial platform to process and analyze large-scale satellite imagery and geospatial data. They write scripts in JavaScript or Python to develop applications for environmental monitoring, land-use analysis, climate research, and more. This role often involves working with GIS data, remote sensing techniques, and machine learning models to extract insights from geospatial datasets. Developers collaborate with researchers, data scientists, and policymakers to build solutions for real-world problems.

What are some common challenges Google Earth Engine Developers face on the job?

Google Earth Engine Developers frequently work with large and complex geospatial datasets, which can require advanced data management and optimization skills to ensure efficient processing. They often need to integrate diverse remote sensing data sources and develop custom algorithms tailored to specific client or project objectives. Collaboration with scientists, data analysts, and environmental specialists is typically central to the role, making clear communication and project management essential. Staying up-to-date with evolving Earth observation technologies and cloud-based GIS tools is also important to address emerging challenges and maintain cutting-edge solutions.

More about Google Earth Engine Developer jobs
What are the most commonly searched types of Google Earth Engine Developer jobs? The most popular types of Google Earth Engine Developer jobs are:
What job categories do people searching Google Earth Engine Developer jobs look for? The top searched job categories for Google Earth Engine Developer jobs are:
Infographic showing various Google Earth Engine Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.
Expert and Senior Imagery Scientist 117-123 with Security Clearance

Expert and Senior Imagery Scientist 117-123 with Security Clearance

IC-CAP

Springfield, VA โ€ข On-site

$95K - $130K/yr

Other

Posted 15 days ago


Job description

Expert and Senior Imagery Scientist Expert SAR Imagery Scientist - Education and Experience Required: * Minimum 18 years of total relevant experience * Bachelors and Masters STEM degree can count for up to an additional 5 years of experience * 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products * Experience using SARPy and Matlab SAR toolbox * Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) * Experience exploiting SAR to determine the occurrence and location of an OOI * Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine * Experience communicating with technical and non-technical audiences on availability and capabilities of SAR * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods * Prior imagery/geospatial experience Desired: * Experience applying CV and ML techniques to SAR imagery and data Senior SAR Imagery Scientist - Education and Experience Required: * Minimum 10 years of total relevant experience * Bachelors and Masters STEM degree can count for up to an additional 5 years of experience * 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products * Experience using SARPy and Matlab SAR toolbox * Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) * Experience exploiting SAR to determine the occurrence and location of an OOI * Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine * Experience communicating with technical and non-technical audiences on availability and capabilities of SAR * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods * Prior imagery/geospatial experience Desired: * Experience applying CV and ML techniques to SAR imagery and data Expert EO Imagery Scientist - Education and Experience Required: * Minimum 18 years of total relevant experience * Bachelors and Masters STEM degree can count for up to an additional 5 years of experience * 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation * process, and exploitation products * Experience exploiting EO to determine the occurrence and location of an OOI * Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. * Experience communicating with technical and non-technical audiences on availability and capabilities of EO * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods * Prior imagery/geospatial experience Desired: * Exhibit experience applying CV and ML techniques to EO imagery and data Senior EO Imagery Scientist - Education and Experience Required: * Minimum 10 years of total relevant experience * Bachelors and Masters STEM degree can count for up to an additional 5 years of experience * 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation * process, and exploitation products * Experience exploiting EO to determine the occurrence and location of an OOI * Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. * Experience communicating with technical and non-technical audiences on availability and capabilities of EO * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods * Prior imagery/geospatial experience Desired: * Exhibit experience applying CV and ML techniques to EO imagery and data Security Clearance: * Current TS/SCI and the willingness to sit for a polygraph, if needed IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.