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Internship Google Earth Engine Jobs in Reston, VA

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Internship Google Earth Engine information

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

As of Jul 6, 2026, the average hourly pay for internship google earth engine in Reston, VA is $17.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.28 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.
What job categories do people searching Internship Google Earth Engine jobs in Reston, VA look for? The top searched job categories for Internship Google Earth Engine jobs in Reston, VA are:
What cities near Reston, VA are hiring for Internship Google Earth Engine jobs? Cities near Reston, VA with the most Internship Google Earth Engine job openings:
Expert and Senior Imagery Scientist 117-123 with Security Clearance

Expert and Senior Imagery Scientist 117-123 with Security Clearance

IC-CAP

Springfield, VA • On-site

$95K - $130K/yr

Other

Posted 9 days ago


Job description

Expert and Senior Imagery Scientist Expert SAR Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Senior SAR Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Expert EO Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ 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 including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. Experience communicating with technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Senior EO Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ 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 including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis. Experience communicating with technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Security Clearance: * Current TS/SCI and the willingness to sit for a polygraph, if needed IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.