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Summer 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

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

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 · 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 (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 (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

$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

$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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All JobsSummer Google Earth Engine Jobs

Summer Google Earth Engine information

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

As of Jul 6, 2026, the average hourly pay for summer 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 the difference between Summer Google Earth Engine vs Summer GIS Intern?

AspectSummer Google Earth EngineSummer GIS Intern
Required CredentialsKnowledge of remote sensing, programming (Python, JavaScript), GIS fundamentalsBasic GIS skills, coursework in geography or related fields, some programming knowledge
Work EnvironmentResearch-focused, often remote or in-office, tech-driven projectsFieldwork, office, or lab settings, supporting GIS data collection and analysis
Employer & Industry UsageTech companies, research institutions, environmental agenciesGovernment agencies, environmental consultancies, universities
Comparison Search IntentUnderstanding technical skills and project scopeExploring internship opportunities and required skills

The Summer Google Earth Engine role focuses on advanced remote sensing and programming skills to analyze geospatial data using Google Earth Engine platform. In contrast, a Summer GIS Intern typically supports GIS data management and analysis with foundational GIS knowledge. Both roles are valuable in geospatial industries but differ in technical depth and project focus.

What is a Summer Google Earth Engine position?

A Summer Google Earth Engine position typically refers to a seasonal internship or research role where students or early-career professionals use Google Earth Engine (GEE) during the summer months. Google Earth Engine is a cloud-based platform for planetary-scale environmental data analysis. Interns or researchers in this position work on projects involving remote sensing, geospatial data analysis, and visualization using GEE tools. The role often involves processing satellite imagery, developing geospatial applications, and contributing to environmental or climate science projects. These positions provide hands-on experience with cutting-edge technology and real-world datasets.

What are the key skills and qualifications needed to thrive as a Summer Google Earth Engine Intern, and why are they important?

To thrive as a Summer Google Earth Engine Intern, you typically need a background in geography, environmental science, or computer science, along with experience in remote sensing and geospatial analysis. Familiarity with Google Earth Engine, programming languages like JavaScript or Python, and GIS platforms is highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help interns interpret data and collaborate with multidisciplinary teams. These abilities are essential for extracting actionable insights from complex spatial data and contributing to impactful environmental or research projects.

What types of projects and collaborations can I expect as a Summer Google Earth Engine intern?

As a Summer Google Earth Engine intern, you’ll typically work on geospatial analysis projects that leverage satellite imagery and big data to address environmental, agricultural, or urban challenges. You’ll collaborate closely with data scientists, software engineers, and researchers, often working in multidisciplinary teams to design, implement, and share meaningful analyses. Interns may also have opportunities to contribute to open-source tools, present findings to stakeholders, and participate in regular team meetings or seminars. This collaborative environment fosters learning and skill development, making it an excellent stepping stone for careers in geospatial technology or environmental data science.
More about Summer Google Earth Engine jobs
What cities are hiring for Summer Google Earth Engine jobs? Cities with the most Summer Google Earth Engine job openings:
What are the most commonly searched types of Google Earth Engine jobs? The most popular types of Google Earth Engine jobs are:
What states have the most Summer Google Earth Engine jobs? States with the most job openings for Summer Google Earth Engine jobs include:
What job categories do people searching Summer Google Earth Engine jobs look for? The top searched job categories for Summer Google Earth Engine jobs are:
Summer Google Earth Engine jobs near you
Infographic showing various Summer Google Earth Engine job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 4% Part Time, and 11% Contract. Highlights an 69% Physical, 3% 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

Imagery Scientist - EO Expert-Job#779

Allen Integrated Solutions

Springfield, VA • On-site

Full-time

Posted 3 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