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Summer Google Earth Engine Jobs (NOW HIRING)

Google Earth Engine * Deep understanding of: * Remote sensing principles * Advanced imagery processing and exploitation methods * Sensor and platform limitations and advantages * Proven ability to ...

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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$12

$22

$37

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

As of Jul 5, 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:
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.
Expert EO Imagery Scientist

Expert EO Imagery Scientist

Booz Allen Hamilton

Alexandria, VA • On-site

Full-time

Posted 20 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is seeking an Expert EO Imagery Scientist to leverage advanced physics research expertise to support various challenges in the S&T domain. The role involves developing innovative solutions, mentoring team members, and applying extensive technical knowledge to EO imagery and remote sensing.
Responsibilities:
• Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and support S&T client challenges.
• Apply advanced skills, extensive technical expertise, and full industry knowledge.
• Develop innovative solutions to complex problems.
• Work without considerable direction, and mentor and supervise team members.
Qualifications:
Required:
• 15+ years of experience in EO, remote sensing, image processing, or image science
• 4+ years of experience leading EO projects
• Experience exploiting the electromagnetic spectrum, including 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 utilizing advanced processing tools such as Python, MATLAB, and Google Earth Engine, to automate scientific processes of EO imagery data to aid analysis
• Experience communicating with a variety of technical and non-technical audiences on the availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis
• Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems
• Knowledge of collection, phenomenology, image formation processes, and exploitation products
• Knowledge of the principles of remote sensing and imagery processing, and advanced exploitation methods
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree in Image Science, Remote Sensing, Earth Science, Physical Science, CS, Statistics, or a STEM field and 15+ years of experience in EO, or 20+ years of experience in EO in lieu of a degree
Preferred:
• Experience acquiring new data, potential latency associated with acquisition, data formats, and security domains
• Experience pre-processing and standardizing data to match existing data standards or be transformed into a usable state for labeling and model testing purposes
• Experience with collaboration, including with SAR Imagery Scientists to provide coincident EO imagery
• Knowledge of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
• Knowledge of the potential differences in metadata, data format, and data structure characteristics regarding 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
• Knowledge of how to investigate gaps in the emerging sensor capability that may need to be supplemented by other sources
• Master's degree in a Science field preferred; Doctorate degree in a Science field a plus
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914