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How much do google earth engine jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for 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 a Google Earth Engine job?

A Google Earth Engine job typically involves working with Google's cloud-based geospatial analysis platform to process and analyze satellite imagery and geospatial data. Professionals in this role use JavaScript or Python within the Earth Engine API to conduct remote sensing, land-use monitoring, environmental research, and spatial data visualization. These jobs are common in fields like environmental science, urban planning, agriculture, and disaster management, where large-scale geographic data analysis is required.

What are some common responsibilities for professionals working in Google Earth Engine roles?

Professionals in Google Earth Engine roles are typically responsible for collecting, processing, and analyzing large datasets derived from satellite or aerial imagery. Their daily tasks may include developing scripts to automate geospatial workflows, creating visualizations and maps, and generating actionable insights for environmental monitoring or resource management. Collaboration with cross-functional teams—such as data scientists, researchers, and decision-makers—is common to ensure that analytical results are clearly understood and practically applied. Staying updated on new data sources, platform features, and best practices is also an essential part of the role.

What are the key skills and qualifications needed to thrive in the Google Earth Engine position, and why are they important?

To thrive in a Google Earth Engine role, you need a solid background in remote sensing, geospatial analysis, and programming (especially JavaScript and Python), along with a relevant degree in environmental science, geography, or a related field. Experience with the Google Earth Engine platform, geospatial data processing tools, and cloud computing is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help professionals collaborate and clearly present findings. These qualifications are vital to efficiently analyze large-scale geospatial data and translate insights into real-world environmental and business solutions.

More about Google Earth Engine jobs
What cities are hiring for Google Earth Engine jobs? Cities with the most 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 Google Earth Engine jobs? States with the most job openings for Google Earth Engine jobs include:
Expert EO Imagery Scientist

Expert EO Imagery Scientist

Booz Allen Hamilton

Alexandria, VA • On-site

Full-time

Posted 22 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