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

Navstar

SAR Imagery Scientist

Springfield, VA · On-site

$112K - $257K/yr

Experience in Google Earth Engine, ArcGIS Online, ArcGIS Pro, Tableau, or Web Services Development * Experience with GIS software and methodological principles, including ArcGIS * Possession of ...

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How much do google earth engine jobs pay per hour?

As of Jun 9, 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
Infographic showing various Google Earth Engine job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $47,779 per year, or $23 per hour.

Principal SAR Imagery Scientist (AI/ML Validation) | TS/SCI

Xcellent Technology

Springfield, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Principal SAR Imagery Scientist (AI/ML Validation) | TS/SCI
Location: Springfield VA
Overview
Join a mission-critical effort at the forefront of AI assurance within GEOINT. Supporting NGA's Assurance and Governance (QA) office and the Accreditation of AI Models (AGAIM) program, this role is focused on ensuring that advanced AI and machine learning models are rigorously tested, validated, and ready for real-world intelligence operations.
As a Principal SAR Imagery Scientist, you will serve as a leading authority in Synthetic Aperture Radar (SAR), driving the evaluation and validation of AI/ML models against operational radar imagery. You will design and oversee testing methodologies that reflect real-world collection conditions, ensuring models perform reliably across diverse environments and mission scenarios. This role goes beyond analysis. You will apply deep expertise in SAR phenomenology, sensor physics, and image formation to assess model performance, identify limitations, and guide improvements. Your work will directly influence how AI is trusted and deployed across the mission, shaping analytic standards and advancing automated GEOINT capabilities. You will also play a key advisory role, translating complex technical findings into actionable insights for leadership, while collaborating across NGA and the broader Intelligence Community to ensure mission-relevant, accurate, and defensible outcomes.
If you are a SAR expert looking to shape how AI is evaluated, trusted, and deployed across real-world intelligence missions, this is an opportunity to make a lasting impact.
Requirements
  • Active TS/SCI clearance with willingness to undergo a CI Polygraph exam
  • 18+ years of relevant experience in lieu of a degree, or a PhD with 10+ years of relevant experience, or a Master's degree with 13+ years of relevant experience, or a Bachelor's degree with 15+ years of relevant experience, or an Associate's degree with 16+ years of relevant experience
  • Proven 6+ years of experience as a SAR expert with deep expertise in collection, phenomenology, collection geometry, sensor physics, image formation processes, and exploitation tradecraft
  • Application of SAR imagery to identify the occurrence and location of objects of interest (OOI)
  • Proficiency with SAR-focused toolsets and environments including SARPy, MATLAB SAR Toolbox, and Python-based workflows
  • Experience developing, testing, and evaluating algorithms, methodologies, and analytic processes using SAR imagery
  • Application of image quality metrics, sensor metadata (e.g., graze, squint), and information-theoretic approaches to assess SAR data quality and performance
  • Application of remote sensing and geospatial platforms such as Google Earth Engine for advanced imagery analysis and modeling workflows
  • Ability to design, evaluate, and refine analytic models and validation frameworks using operational, real-world datasets
  • Ability to communicate complex SAR concepts, findings, and system capabilities to both technical and non-technical audiences
  • Strong foundation in remote sensing principles, GEOINT tradecraft, and advanced imagery exploitation methodologies
  • Capacity to operate independently while providing authoritative technical guidance and advisory support to government leadership
Desired
  • Working knowledge of computer vision (CV) and machine learning techniques as applied to SAR imagery

Apply now or send your resume directly to Antoine Thomas: [email protected]
Why XTS?
XTS is a veteran owned company focused on mission success and professional growth. We foster a collaborative environment and invest in our people so they can thrive while supporting critical national security missions.
Benefits Include:
  • Flexible healthcare, dental, and vision plans
  • Paid time off (PTO) and 11 federal holidays
  • Matching 401(k) plan
  • Short- and long-term disability, life insurance, cancer insurance, and pet insurance
  • Ongoing professional development and advancement opportunities

Apply