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Trainee 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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Trainee Google Earth Engine information

How much does it pay to be a Google Earth driver?

There is no specific role called 'Google Earth driver'; however, jobs involving Google Earth Engine or geospatial data analysis typically pay between $50,000 and $100,000 annually, depending on experience, location, and responsibilities. Entry-level positions may start lower, while experienced professionals with skills in remote sensing and GIS can earn higher salaries.

How to get started with Google Earth Engine?

To get started as a Trainee in Google Earth Engine, you should first create a Google account and sign up for access to the platform. Familiarize yourself with the Earth Engine Code Editor, learn JavaScript or Python for scripting, and explore the available tutorials and documentation to understand how to analyze geospatial data effectively.

How much do you get paid to work for Google Earth?

As a Trainee Google Earth Engine specialist, compensation varies depending on location, experience, and the specific program or internship. Entry-level roles or internships typically offer hourly wages or stipends aligned with industry standards for trainees or interns in tech and environmental data fields.

How do you get a job with Google Earth?

To get a job as a Trainee in Google Earth Engine, candidates typically need a strong background in geospatial analysis, programming skills in JavaScript or Python, and familiarity with remote sensing data. Applying through Google's careers website, gaining relevant experience, and demonstrating proficiency with Earth observation tools can improve chances of securing such a role.

What is the difference between Trainee Google Earth Engine vs Data Analyst?

AspectTrainee Google Earth EngineData Analyst
Required CredentialsBasic knowledge of GIS, remote sensing, or programming; often entry-levelDegree in statistics, data science, or related field; proficiency in data tools
Work EnvironmentFocus on geospatial data processing, often in research or environmental sectorsData interpretation, reporting, and visualization across various industries
Employer & Industry UsageResearch institutions, environmental agencies, tech companiesBusiness, finance, healthcare, and technology sectors

While both roles involve data analysis, a Trainee Google Earth Engine specializes in geospatial and remote sensing data using Google Earth Engine platform, often as an entry-level position. A Data Analyst has a broader focus on interpreting various data types across industries. The roles share some technical skills but differ in domain focus and application.

What cities are hiring for Trainee Google Earth Engine jobs? Cities with the most Trainee 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 Trainee Google Earth Engine jobs? States with the most job openings for Trainee Google Earth Engine jobs include:
What job categories do people searching Trainee Google Earth Engine jobs look for? The top searched job categories for Trainee Google Earth Engine jobs are:
Trainee Google Earth Engine jobs near you
Infographic showing various Trainee Google Earth Engine job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution.
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 8 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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