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Google Earth Engine Jobs (NOW HIRING)

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

Apply Early

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

Apply Early

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

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 ...

Apply Early

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 ...

Apply Early

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 ...

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. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$92K - $166K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development. * Experience with ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$92K - $166K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development. * Experience with ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

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. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the ...

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How much do google earth engine jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for google earth engine 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 job?

A Google Earth Engine job typically involves working with Google's cloud-based geospatial analysis platform to process and analyze satellite imagery and geospatial data. Professionals in this role use JavaScript or Python within the Earth Engine API to conduct remote sensing, land-use monitoring, environmental research, and spatial data visualization. These jobs are common in fields like environmental science, urban planning, agriculture, and disaster management, where large-scale geographic data analysis is required.

What are some common responsibilities for professionals working in Google Earth Engine roles?

Professionals in Google Earth Engine roles are typically responsible for collecting, processing, and analyzing large datasets derived from satellite or aerial imagery. Their daily tasks may include developing scripts to automate geospatial workflows, creating visualizations and maps, and generating actionable insights for environmental monitoring or resource management. Collaboration with cross-functional teams—such as data scientists, researchers, and decision-makers—is common to ensure that analytical results are clearly understood and practically applied. Staying updated on new data sources, platform features, and best practices is also an essential part of the role.

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

To thrive in a Google Earth Engine role, you need a solid background in remote sensing, geospatial analysis, and programming (especially JavaScript and Python), along with a relevant degree in environmental science, geography, or a related field. Experience with the Google Earth Engine platform, geospatial data processing tools, and cloud computing is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help professionals collaborate and clearly present findings. These qualifications are vital to efficiently analyze large-scale geospatial data and translate insights into real-world environmental and business solutions.

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Google Earth Engine jobs near you
Imagery Scientist - EO Expert-Job#779

Imagery Scientist - EO Expert-Job#779

Allen Integrated Solutions

Springfield, VA • On-site

Full-time

Posted 4 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

Apply