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Seasonal Google Earth Engine Developer Jobs (NOW HIRING)

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 ...

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

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 ...

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 ...

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 ...

Google Earth Engine * Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript, or SQL * Excellent written and verbal communication skills and comfort working ...

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How much do seasonal google earth engine developer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for seasonal google earth engine developer in the United States is $60.29, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $67.31 per hour, depending on experience, location, and employer.
What cities are hiring for Seasonal Google Earth Engine Developer jobs? Cities with the most Seasonal Google Earth Engine Developer job openings:
What are the most commonly searched types of Google Earth Engine Developer jobs? The most popular types of Google Earth Engine Developer jobs are:
What states have the most Seasonal Google Earth Engine Developer jobs? States with the most job openings for Seasonal Google Earth Engine Developer jobs include:
Infographic showing various Seasonal Google Earth Engine Developer job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, 7% Part Time, 12% Temporary, and 10% Contract. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $125,398 per year, or $60.3 per hour.

Imagery Scientist (SAR)- Expert with Security Clearance

GRVTY

Saint Louis, MO

Other

Posted 11 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