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Google Earth Engine Jobs (NOW HIRING)

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA · On-site

Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI ...

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site

Google Earth Engine * Support automation of EO scientific processing and analysis workflow * Assess emerging EO sensor characteristics and capabilities * Evaluate impacts to: * Metadata structures

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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.

Imagery Scientist (SAR)- Expert with Security Clearance

GRVTY

Falls Church, VA • On-site

Other

Re-posted 28 days ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead SAR subject matter expert (SME) on our dynamic team. The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind. What You'll be Owning * Serve as the lead technical authority for SAR exploitation and imagery science initiatives. * Analyze: * SAR collection characteristics * Sensor phenomenology * Image formation processes * Develop, test, and evaluate: * New algorithms * Exploitation methodologies * Scientific workflows * Automated processing techniques * Utilize advanced processing tools including: * Python * MATLAB * Google Earth Engine * SARPy * Conduct exploitation and analysis of SAR imagery to identify and locate objects of interest What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI/Poly * 6+ years of advanced SAR exploitation and imagery science experience * Demonstrated expertise in: * SAR collection and phenomenology * Image formation processes * Exploitation methodologies * Sensor metadata interpretation * Hands-on experience with: * SARPy * MATLAB SAR Toolbox * Strong knowledge of: * RNIIRS * Information theoretic image quality metrics * Integrated Sidelobe Ratio (ISLR) * Multiplicative Noise Ratio (MNR) h) * SAR geometry impacts * Experience developing and evaluating: * Algorithms * Automated workflows * Scientific exploitation methods * Strong skills using: * Python * MATLAB * Google Earth Engine * Deep understanding of: * Remote sensing principles * Advanced imagery exploitation * Geospatial intelligence methodologies * Proven ability to communicate technical concepts to: * Technical audiences * Non-technical stakeholders * Intelligence users What Would be Nice to Have * Experience applying CV and machine learning (ML) techniques to SAR imagery and data to address intelligence problems

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