1

Internship Google Earth Engine Jobs in Colorado (NOW HIRING)

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/yr

Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine). * A record of scientific publication or successful proposal work.

Senior Wetlands Scientist

Boulder, CO · On-site +1

$94K - $129K/yr

Experience with distributed or parallel processing for large-area geospatial work (e.g., cloud batch, Dask, or Google Earth Engine). * A record of scientific publication or successful proposal work.

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine). * Comfort thinking structurally about data schemas ...

Knowledge of QGIS and Google Earth Engine preferred * Knowledge of programming languages such as python, R, SQL, and Arcade (ESRI) preferred * Familiarity with geospatial libraries such as GDAL and ...

GIS Specialist

Denver, CO · On-site

$50K - $95K/yr

Knowledge of QGIS and Google Earth Engine preferred * Knowledge of programming languages such as python, R, SQL, and Arcade (ESRI) preferred * Familiarity with geospatial libraries such as GDAL and ...

Internship

Littleton, CO · Remote

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure Adobe After ... Google My Business: page listing management, optimization, customer engagement Content Writing ...

Internship

Littleton, CO · On-site

$15 - $20/hr

On-page SEO: keyword density, meta tags, NAP listing, LSI keywords, site structure * Adobe After ... Google My Business: page listing management, optimization, customer engagement * Content Writing ...

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

Experience with Google Earth Pro. * Experience with additional Adobe Creative Suite products ... Experience with Unreal Engine or Unity for real-time interactive environments. Key Responsibilities:

... the earth. We design, build, operate, and sell stratospheric balloon systems, and the data we ... Design and manage digital marketing campaigns to generate leads, utilizing SEO, social media, and ...

next page

Showing results 1-20

Internship Google Earth Engine information

What is the difference between Internship Google Earth Engine vs Data Analyst Intern?

AspectInternship Google Earth EngineData Analyst Intern
Required SkillsBasic programming, GIS, remote sensing, Google Earth Engine platform knowledgeData analysis, Excel, SQL, visualization tools
Work EnvironmentEnvironmental, geospatial, remote sensing projectsBusiness, finance, marketing, or research sectors
Industry UsageGeospatial analysis, environmental monitoring, climate studiesData interpretation, reporting, decision support

Internship Google Earth Engine focuses on geospatial data analysis using Google Earth Engine, ideal for environmental and remote sensing projects. In contrast, Data Analyst Interns work with broader data sets across industries, emphasizing data interpretation and visualization. Both roles require analytical skills but differ in technical tools and industry focus.

What are the key skills and qualifications needed to thrive as an internship in Google Earth Engine?

To succeed in a Google Earth Engine internship, you need a solid background in remote sensing, geospatial analysis, and programming languages like Python or JavaScript, often supported by ongoing or completed studies in geography, environmental science, or computer science. Familiarity with the Google Earth Engine platform, GIS software (such as QGIS or ArcGIS), and data visualization tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you interpret results and collaborate within diverse project teams. These skills are crucial for efficiently processing geospatial data, deriving valuable insights, and contributing to impactful environmental or societal projects.

What types of projects do interns typically work on during a Google Earth Engine internship?

As a Google Earth Engine intern, you can expect to work on projects involving large-scale geospatial data analysis, development of tools or scripts for environmental monitoring, or collaborating with external partners on research initiatives. Interns often contribute to real-world solutions, such as mapping deforestation, monitoring urban growth, or developing visualizations for climate data. You'll typically work closely with experienced engineers, data scientists, and researchers, gaining exposure to both the technical and collaborative aspects of the platform. This hands-on experience helps build valuable skills in cloud computing, remote sensing, and data visualization.

What is an internship in Google Earth Engine?

An Internship in Google Earth Engine is a temporary position where students or recent graduates work with Google’s cloud-based geospatial processing platform. Interns typically assist with analyzing satellite imagery, developing geospatial applications, and supporting environmental or research projects. This role helps interns gain valuable experience in remote sensing, programming, and data analysis, while contributing to real-world solutions using Google Earth Engine. Interns often collaborate with experienced engineers, researchers, and other professionals, making it a great learning opportunity.

What are popular job titles related to Internship Google Earth Engine jobs in Colorado?

For Internship Google Earth Engine jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Internship Google Earth Engine jobs in Colorado look for?

The top searched job categories for Internship Google Earth Engine jobs in Colorado are:

What cities in Colorado are hiring for Internship Google Earth Engine jobs?

Cities in Colorado with the most Internship Google Earth Engine job openings:

$51K/yr

Full-time

Posted 12 days ago


U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 538 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

What U.S. Department Of Defense employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom