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Internship Google Earth Engine Jobs (NOW HIRING)

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · 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

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA · On-site

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

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 ...

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GRVTY

Imagery Scientist (SAR)- Expert

Saint Louis, MO · On-site

Utilize advanced processing tools including Python, MATLAB, Google Earth Engine, SARPy. * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest. What You Must ...

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

As of Jun 20, 2026, the average hourly pay for internship google earth engine in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Internship Google Earth Engine vs Data Analyst Intern?

AspectInternship Google Earth EngineData Analyst Intern
Required SkillsBasic programming, GIS, remote sensing, Google Earth Engine platform knowledgeData analysis, Excel, SQL, visualization tools
Work EnvironmentEnvironmental, geospatial, remote sensing projectsBusiness, finance, marketing, or research sectors
Industry UsageGeospatial analysis, environmental monitoring, climate studiesData interpretation, reporting, decision support

Internship Google Earth Engine focuses on geospatial data analysis using Google Earth Engine, ideal for environmental and remote sensing projects. In contrast, Data Analyst Interns work with broader data sets across industries, emphasizing data interpretation and visualization. Both roles require analytical skills but differ in technical tools and industry focus.

What are the key skills and qualifications needed to thrive as an Internship Google Earth Engine, and why are they important?

To succeed in a Google Earth Engine internship, you need a solid background in remote sensing, geospatial analysis, and programming languages like Python or JavaScript, often supported by ongoing or completed studies in geography, environmental science, or computer science. Familiarity with the Google Earth Engine platform, GIS software (such as QGIS or ArcGIS), and data visualization tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret results and collaborate within diverse project teams. These skills are crucial for efficiently processing geospatial data, deriving valuable insights, and contributing to impactful environmental or societal projects.

What types of projects do interns typically work on during a Google Earth Engine internship?

As a Google Earth Engine intern, you can expect to work on projects involving large-scale geospatial data analysis, development of tools or scripts for environmental monitoring, or collaborating with external partners on research initiatives. Interns often contribute to real-world solutions, such as mapping deforestation, monitoring urban growth, or developing visualizations for climate data. You'll typically work closely with experienced engineers, data scientists, and researchers, gaining exposure to both the technical and collaborative aspects of the platform. This hands-on experience helps build valuable skills in cloud computing, remote sensing, and data visualization.

What is an Internship in Google Earth Engine?

An Internship in Google Earth Engine is a temporary position where students or recent graduates work with Google’s cloud-based geospatial processing platform. Interns typically assist with analyzing satellite imagery, developing geospatial applications, and supporting environmental or research projects. This role helps interns gain valuable experience in remote sensing, programming, and data analysis, while contributing to real-world solutions using Google Earth Engine. Interns often collaborate with experienced engineers, researchers, and other professionals, making it a great learning opportunity.
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Internship Google Earth Engine jobs near you
Infographic showing various Internship Google Earth Engine job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $34,624 per year, or $16.6 per hour.

Imagery Scientist (SAR)- Expert with Security Clearance

GRVTY

Saint Louis, MO

Other

Posted 15 hours ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead SAR subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning Serve as the lead technical authority for SAR exploitation and imagery science initiatives. Analyze: SAR collection characteristics Sensor phenomenology Image formation processes Develop, test, and evaluate: New algorithms Exploitation methodologies Scientific workflows Automated processing techniques Utilize advanced processing tools including: Python MATLAB 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/Poly 6+ years of advanced SAR exploitation and imagery science experience Demonstrated expertise in: SAR collection and phenomenology Image formation processes Exploitation methodologies Sensor metadata interpretation Hands-on experience with: SARPy MATLAB SAR Toolbox Strong knowledge of: RNIIRS Information theoretic image quality metrics Integrated Sidelobe Ratio (ISLR) Multiplicative Noise Ratio (MNR) h) SAR geometry impacts Experience developing and evaluating: Algorithms Automated workflows Scientific exploitation methods Strong skills using: Python MATLAB Google Earth Engine Deep understanding of: Remote sensing principles Advanced imagery exploitation Geospatial intelligence methodologies Proven ability to communicate technical concepts to: Technical audiences Non-technical stakeholders Intelligence users What Would be Nice to Have * Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems

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