1

Google Earth Engine Developer Jobs (NOW HIRING)

Engineering credibility is central to this role. We lead the engineering and software development ... Google Earth Engine * Activity in relevant open source communities and conferences like ESIP ...

D. in Hydrology, Water Resources Engineering, Environmental Engineering, Civil Engineering ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

next page

Showing results 1-20

Google Earth Engine Developer information

See salary details

$12

$22

$37

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

As of Jul 12, 2026, the average hourly pay for google earth engine developer in the United States is $22.08, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google Earth Engine Developer position, and why are they important?

To thrive as a Google Earth Engine Developer, you need a solid background in remote sensing, geospatial data analysis, and programming languages such as JavaScript or Python, often supported by a relevant degree in geography, computer science, or a related field. Familiarity with Google Earth Engine, cloud-based GIS tools, and certifications in GIS or Earth observation technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively across multidisciplinary teams are important soft skills. These capabilities are essential for efficiently handling large spatial datasets, delivering impactful geospatial solutions, and ensuring successful project outcomes.

What is a Google Earth Engine Developer job?

A Google Earth Engine Developer is responsible for leveraging Google's cloud-based geospatial platform to process and analyze large-scale satellite imagery and geospatial data. They write scripts in JavaScript or Python to develop applications for environmental monitoring, land-use analysis, climate research, and more. This role often involves working with GIS data, remote sensing techniques, and machine learning models to extract insights from geospatial datasets. Developers collaborate with researchers, data scientists, and policymakers to build solutions for real-world problems.

What are some common challenges Google Earth Engine Developers face on the job?

Google Earth Engine Developers frequently work with large and complex geospatial datasets, which can require advanced data management and optimization skills to ensure efficient processing. They often need to integrate diverse remote sensing data sources and develop custom algorithms tailored to specific client or project objectives. Collaboration with scientists, data analysts, and environmental specialists is typically central to the role, making clear communication and project management essential. Staying up-to-date with evolving Earth observation technologies and cloud-based GIS tools is also important to address emerging challenges and maintain cutting-edge solutions.

More about Google Earth Engine Developer jobs
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 job categories do people searching Google Earth Engine Developer jobs look for? The top searched job categories for Google Earth Engine Developer jobs are:
Infographic showing various Google Earth Engine Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $45,925 per year, or $22.1 per hour.
Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Postdoctoral Associate - Forest Futures Lab/Western Fire and Forest Resilience Collaborative

Cary Institute of Ecosystem Studies

Millbrook, NY • On-site

$74/hr

Full-time

Posted 18 days ago


Job description

Salary transparency statement This is a full-time, fully benefitted exempt position with a one-year initial appointment, renewable for an additional year contingent on performance and funding. Annual salary starts at $74,263.00 , based on postdoctoral experience, with a highly competitive benefits and time-off package.
Position Summary
The Cary Institute of Ecosystem Studies seeks a collaborative, synthetic postdoctoral associate to join the Western Fire and Forest Resilience Collaborative and the Forest Futures Lab. The Fire Collaborative includes 12 science teams and a team of boundary spanners working together to advance predictive science in fire ecology and ecosystem resilience in ways that are actionable for western US land managers. The postdoctoral associate will integrate remote sensing and geospatial data to determine how fire regimes affect western US river runoff and the drivers of fire-water relationships. This role offers leadership opportunities and the freedom to pursue independent research within a supportive and nurturing lab environment.
The position is based at the Cary Institute in the beautiful Hudson Valley of New York, a short way north of New York City. The Cary Institute is home to a diverse, vibrant, and supportive community of colleagues. The anticipated start date is on or around January 4th, 2027.
Questions about the position may be directed to Dr. Winslow Hansen at the Cary Institute.
Essential Responsibilities
• Present research findings in peer-reviewed papers, at scientific meetings, and in other forums.
• Work with colleagues in the Fire Collaborative to develop, lead, and implement independent research that enhances fire ecology and ecosystem resilience strategies.
• Leverage remote sensing and geospatial data in AI and Bayesian analytical frameworks to characterize relationships between fire and subsequent river runoff in western US watersheds.
• Engage with Collaborative boundary spanners, scientists, policymakers, and stakeholders to ensure research findings effectively inform fire and forest management strategies.
• Contribute to a dynamic and interdisciplinary research environment at the Cary Institute.
Required Qualifications
• Ph.D. in forest ecology, disturbance ecology, remote sensing, AI, or a related field prior to appointment.
• Demonstrated expertise in Earth observation, ecological remote sensing, fire ecology.
• Experience working with western US practitioners for producing actionable science.
• Strong quantitative and analytical skills, particularly with Bayesian and AI-based analyses.
• Ability to work independently.
• Proficiency with Google Earth Engine.
• Strong written and oral communication skills.
• Proficiency in programming languages such as R, Python, Java script.
Preferred Qualifications (Not required in every job description only as needed)
• Past postdoctoral experience.
• Proven record of successful collaboration in team-science environments.
• Past experience linking terrestrial disturbances with outcomes in adjacent freshwater systems.
• Past experience using remote sensing to characterize ecological disturbance in western landscapes.
Working Conditions
• Full-time, Exempt, fully benefitted position.
• Occasional travel for field work or meetings is required.
• Will require computer work for 7 hours or more a day.
Closing Date: Review of applications will begin 05/19/2026
To Apply:
Visit our website at https://www.caryinstitute.org/... and complete our online job application. Please submit one document that includes a cover letter (no more than 2 pages) describing research interests, CV, and contact information for three references. The Cary Institute is an Equal Employment Opportunity (EEO) employer. It is the policy of the Institute to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, familial status, protected veteran or disabled status, or genetic information.