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Summer Google Earth Engine Jobs (NOW HIRING)

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine, or equivalent) to handle and process complex datasets. * Excellent written and verbal ...

GRVTY

Imagery Scientist (EO) - Expert

Falls Church, VA · On-site

Python, MATLAB, Google Earth Engine • Deep understanding of: Remote sensing principles, Advanced imagery processing and exploitation methods, Sensor and platform limitations and advantages • ...

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Summer Google Earth Engine information

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

As of Aug 15, 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?

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 can you do with Summer Google Earth Engine?

A Summer Google Earth Engine role involves using the platform to analyze and process large-scale geospatial data for environmental monitoring, land use, and climate studies. It requires skills in coding, data analysis, and remote sensing, often utilizing JavaScript or Python within the Earth Engine environment. The position typically involves project-based work with a focus on satellite imagery and geospatial 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.
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Summer Google Earth Engine jobs near you
Infographic showing various Summer Google Earth Engine job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 32% Full Time, 58% Part Time, 1% Temporary, 7% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.

Expert Electro-Optical Imagery Scientist with Security Clearance

MANTECH

Springfield, VA • On-site

Other

Re-posted 9 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 244 rated software companies

Job description

MANTECH seeks a motivated, career and customer-oriented Expert Electro-Optical Imagery Scientist to join our team in Springfield, VA. This is a full-time onsite position. Responsibilities include but are not limited to: * Experience with Electro-optical imagery analytical products and conducting multi-INT analysis
* Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
* Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
* Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
* Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
* Investigate any gaps in the emerging sensor capability that may need to be supplemented by other sources
* Collaborate with SAR Imagery Scientist to provide coincident EO imagery. Provided EO coincident imagery should align with the areas and temporal windows of emerging sensor's collection. Minimum Qualifications: * 20+ years of experience; BA/BS can account for 4 years while a MA/MS can account for 6 years of experience.
* 4+ years as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products.
* Experience exploiting the electromagnetic spectrum (e.g., electro-optical) to determine the occurrence and location of objects of interest
* 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 a variety of technical and non-technical audiences on availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis.
* Experience using and understanding of the principles of remote sensing and imagery processing and advanced exploitation methods. Preferred Qualifications: * Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems Clearance Requirements: * An active TS/SCI clearance with the ability to obtain and maintain a polygraph Physical Requirements: * Must be able to remain in a stationary position for extended periods while performing imagery analysis and reporting.
* Must be able to occasionally move about the work area to collaborate with team members and access mission systems.

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