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Google Earth Engine Developer Jobs (NOW HIRING)

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site +1

$180K - $210K/yr

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess emerging EO sensor characteristics and capabilities * Evaluate impacts to: * Metadata structures

GRVTY

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 emerging EO sensor characteristics and capabilities * Evaluate impacts to: * Metadata structures

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA

$180K - $210K/yr

Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI ...

GRVTY

Imagery Scientist (SAR)- Expert

Saint Louis, MO

$180K - $210K/yr

Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI ...

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA · On-site

$180K - $210K/yr

Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI ...

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site

$180K - $210K/yr

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess emerging EO sensor characteristics and capabilities * Evaluate impacts to: * Metadata structures

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Collaborate with backend engineers to integrate geospatial features into production systems ... Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development and ArcGIS. #GEOINTMISSION #NSBA If you're looking for comfort, keep scrolling. At Leidos, we outthink ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development and ArcGIS. #GEOINTMISSION #NSBA If you're looking for comfort, keep scrolling. At Leidos, we outthink ...

Leidos

Imagery Scientist (SAR)

Springfield, VA

$116K - $210K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development and ArcGIS. #GEOINTMISSION #NSBA If you're looking for comfort, keep scrolling. At Leidos, we outthink ...

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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 Aug 22, 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 is a Google Earth Engine Developer?

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 the key skills and qualifications needed to thrive as a Google Earth Engine Developer?

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 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.

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Google Earth Engine Developer jobs near you
Infographic showing various Google Earth Engine Developer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 68% Physical, 4% Hybrid, and 28% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.

Imagery Scientist - EO Expert-Job#779 with Security Clearance

Allen Integrated Solutions LLC

Springfield, VA • On-site

Other

Re-posted 20 days ago

Job description

Imagery Scientist - EO Expert Location: Springfield, VA / Washington Metro Area TS/SCI REQUIRED/Current CI Poly or Willing to take one Required Allen Integrated Solutions is supporting NGA's Assurance and Governance Office (QA) Accreditation of AI Models (AGAIM) program. This position will identify and acquire imagery in support of Level 3 Accreditation-the application of the AI algorithm to operational imagery data sets. This position will serve as experts in your respective image modality and prepare imagery of the necessary quality, standards, and requirements. You will develop solutions that are informed by the specific phenomenology limitations and advantages of the sensors and platforms. Required Experience/Skills: * 6+ 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 with tools like Python, MATLAB, Google Earth Engine * Experience communicating with technical and non-technical audiences about the availability and capabilities of EO * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Desired * Experience applying CV and machine learning to EO imagery

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