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Trainee Google Earth Engine Jobs (NOW HIRING)

Geo Owl

Imagery Scientist - EO Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, processes, methodologies, and products using EO imagery with tools such as Python, MATLAB, and Google Earth Engine. * Ability to communicate ...

Geo Owl

Imagery Scientist - EO Expert

Springfield, VA · On-site

Experience developing, testing, and evaluating algorithms, processes, methodologies, and products using EO imagery with tools such as Python, MATLAB, and Google Earth Engine. * Ability to communicate ...

GRVTY

Imagery Scientist (SAR)- Expert

Saint Louis, MO · 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 ...

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Trainee Google Earth Engine information

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.

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What are the most commonly searched types of Google Earth Engine jobs? The most popular types of Google Earth Engine jobs are:
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Trainee Google Earth Engine jobs near you
Infographic showing various Trainee Google Earth Engine job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution.

Imagery Scientist (SAR)- Expert with Security Clearance

GRVTY

Saint Louis, MO

Other

Posted 19 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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