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

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site +1

$180K - $210K/yr

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

GRVTY

Imagery Scientist (EO)- Expert

Falls Church, VA · On-site

$180K - $210K/yr

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

GRVTY

Imagery Scientist (SAR)- Expert

Falls Church, VA

$180K - $210K/yr

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 (SAR)- Expert

Falls Church, VA · On-site

$180K - $210K/yr

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 ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development and ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$92K - $166K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development. * Experience with ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$92K - $166K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development. * Experience with ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild ...

Leidos

Imagery Scientist (SAR)

Springfield, VA · On-site

$116K - $210K/yr

Proficiency in Google Earth Engine, ESRI ARC Services, Tableau, Web Services Development and ArcGIS. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the ...

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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:
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Google Earth Engine jobs near you
Imagery Scientist - SAR Expert-Job#776 with Security Clearance

Imagery Scientist - SAR Expert-Job#776 with Security Clearance

Allen Integrated Solutions LLC

Springfield, VA • On-site

Other

Posted 4 days ago

Job description

Imagery Scientist - SAR Expert Location: Springfield, VA / Washington Metro Area TS/SCI REQUIRED/Current CI Poly or Willing to take one Required Allen Integrated Solutions is supporting NGA's Assurance and Governance Office (QA) Accreditation of AI Models (AGAIM) program. This position will identify and acquire imagery in support of Level 3 Accreditation-the application of the AI algorithm to operational imagery data sets. This position will serve as experts in your respective image modality and prepare imagery of the necessary quality, standards, and requirements.

You will develop solutions that are informed by the specific phenomenology limitations and advantages of the sensors and platforms. Required Experience/Skills: * 6+ years of experience as a SAR expert with understanding of collection, phenomenology, image formation process, and exploitation products * Experience with SARPy and Matlab SAR toolbox * Experience with RNIIS, information theoretic-based image quality metrics, SAR imagery quality metrics, and sensor metadata (e.g., graze, squint) * Experience exploiting SAR to determining 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, Google Earth Engine * Experience communicating with technical and non-technical audiences about the availability and capabilities of SAR * Deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods Desired * Experience applying CV and machine learning to SAR imagery

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