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Google Earth Engine Jobs in Reston, VA (NOW HIRING)

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 Jul 6, 2026, the average hourly pay for google earth engine in Reston, VA is $22.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $25.53 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.

What are the most commonly searched types of Google Earth Engine jobs in Reston, VA? The most popular types of Google Earth Engine jobs in Reston, VA are:
What are popular job titles related to Google Earth Engine jobs in Reston, VA? For Google Earth Engine jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Google Earth Engine jobs in Reston, VA look for? The top searched job categories for Google Earth Engine jobs in Reston, VA are:
Google Earth Engine jobs near you
Expert and Senior Imagery Scientist 117-123 with Security Clearance

Expert and Senior Imagery Scientist 117-123 with Security Clearance

IC-CAP

Springfield, VA • On-site

$95K - $130K/yr

Other

Posted 9 days ago

Job description

Expert and Senior Imagery Scientist Expert SAR Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Senior SAR Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience using SARPy and Matlab SAR toolbox Experience in RNIIRS, information theoretic-based image quality metrics, SAR imagery quality metrics and sensor metadata (e.g., graze, squint, azimuth) Experience exploiting SAR to determine the occurrence and location of an OOI Experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using SAR imagery with tools like Python, MATLAB, and Google Earth Engine Experience communicating with technical and non-technical audiences on availability and capabilities of SAR Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Experience applying CV and ML techniques to SAR imagery and data Expert EO Imagery Scientist - Education and Experience Required: Minimum 18 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience exploiting EO to determine the occurrence and location of an OOI 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 technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Senior EO Imagery Scientist - Education and Experience Required: Minimum 10 years of total relevant experience Bachelors and Masters STEM degree can count for up to an additional 5 years of experience 4+ years of experience as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products Experience exploiting EO to determine the occurrence and location of an OOI 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 technical and non-technical audiences on availability and capabilities of EO Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Prior imagery/geospatial experience Desired: Exhibit experience applying CV and ML techniques to EO imagery and data Security Clearance: * Current TS/SCI and the willingness to sit for a polygraph, if needed IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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