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Google Earth Engine Developer Jobs (NOW HIRING)

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working ...

Umd

Post-Doctoral Associate

College Park, MD · On-site +1

$85K - $95K/yr

Strong programming skills in Python, with demonstrated experience building scientific computing ... Ability to work with large geospatial datasets and cloud computing platforms (Google Earth Engine ...

Geo Owl

Imagery Scientist - SAR Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, methodologies, workflows, and products using SAR imagery and analytical tools such as Python, MATLAB, and Google Earth Engine. * Ability to ...

Geo Owl

Imagery Scientist - SAR Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, methodologies, workflows, and products using SAR imagery and analytical tools such as Python, MATLAB, and Google Earth Engine. * Ability to ...

Wisconsin

Research Scientist

Madison, WI

$31.62K/mo

... a Google Earth Engine and Python. One project will require experience in exceptional event screening for wildfires and blowing dust using TROPOMI and TEMPO satellite observations. Another project ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

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

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

Goldbelt, Inc.

Geospatial Analyst

$85K - $120K/yr

Proficiency with GIS software (e.g., ArcGIS Pro, QGIS), and remote sensing tools (e.g., ERDAS Imagine, ENVI, Google Earth Engine). * Familiarity with FEMA's mission, policies, and response frameworks ...

Leidos

Senior Imagery Scientist (SAR)

Springfield, VA

$92.30K - $166.85K/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

Expert Imagery Scientist (SAR)

Springfield, VA · On-site

$116.35K - $210.33K/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

Senior Imagery Scientist (SAR)

Springfield, VA · On-site

$92.30K - $166.85K/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 ...

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

As of May 31, 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 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 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 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 May 2026, with employment types broken down into 70% Full Time, 11% Part Time, 2% Temporary, and 17% Contract. Highlights an 92% Physical, 5% Hybrid, and 3% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.

Geospatial Analyst

asrcfh

Reston, VA • On-site, Remote

Other

Posted 8 days ago

Job description

ASRC Federal Data Networx LLC is seeking a full-time Geospatial Analyst to join our DC-based team and provide agricultural and natural resource analysis support for our government customers.  The successful candidate will play a central role in analyzing agricultural and natural resource data, producing actionable insights, and supporting programs that track global crop conditions and food supply. We’re looking for someone who combines strong technical skills with curiosity, adaptability, and a collaborative mindset.

Work Location: Hybrid in DC

Key Role Responsibilities:

  • Collect, clean, and analyze datasets such as satellite imagery, weather data, agricultural surveys, and field observations
  • Apply advanced remote sensing methods and GIS technologies to support crop production mapping and natural resource modeling
  • Use machine learning approaches for remote sensing and agricultural analytics
  • Produce maps, visualizations, and technical reports—often on tight, recurring deadlines
  • Present findings, support stakeholder engagement, and deliver technical training when needed
  • Stay current on geospatial technologies, industry trends, and analytical methods

Basic Qualifications:

  • Minimum of 2-4 years’ experience in in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • Bachelor’s degree in geography, GIS, remote sensing, environmental/natural sciences, or related field plus at least 2 years of relevant experience. A degree in another discipline plus at least 3 years of experience in geography, GIS, or remote sensing with substantive coursework in geospatial analysis and modeling.
  • 6+ years related experience in geospatial analysis and modeling in the absence of a degree.
  • Strong foundation in remote sensing and geospatial workflows (vector and raster analysis, modeling, land cover mapping).
  • Proficiency with geospatial tools such as:
    • ArcGIS Pro
    • Google Earth Engine
    • Jupyter Notebooks, Google Colab, or R Studio
  • Basic programming experience in Python, JavaScript, or SQL
  • Excellent written and verbal communication skills and comfort working in a team-based environment

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