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How much do google earth engine jobs pay per hour?

As of Aug 16, 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?

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 the common responsibilities of a Google Earth Engine professional?

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 skills and qualifications are needed for a Google Earth Engine role?

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.

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Google Earth Engine jobs near you
Infographic showing various Google Earth Engine job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% 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 10 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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