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Trainee Google Earth Engine Jobs (NOW HIRING)

Eightelevengroup

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have) * Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice ...

Embedded Alliance

Geospatial Analyst

Springfield, VA · On-site

$80 - $100/hr

Experience with Google Earth Engine (GEE). * Proficiency in Basic Python Scripting. $80,000.00 - $100,000.00 per year Full-time 1 open position Location(s): Springfield, VA #J-18808-Ljbffr

MANTECH

Expert SAR Imagery Scientist

Springfield, MA · On-site

... Google Earth Engine, etc.) to automate scientific processes of SAR imagery data to aid analysis * Exhibit a deep understanding of the principles of remote sensing and imagery processing and advanced ...

White's Site Development

Land Entitlement Trainee

Orlando, FL · On-site

$93K - $120K/yr

Land Entitlement Trainee White's Site Development | Orlando / Central Florida | Entry Level About ... GIS familiarity (ArcGIS, Google Earth Pro) a plus * Florida land development or local government ...

Fujitsu Careers

Principal Researcher

Santa Clara, CA · On-site

$174 - $249/hr

Proven experience with big geospatial data tools (e.g., Google Earth Engine, Planetary Computer, Xarray, Rasterio, GDAL, Apache Sedona). * Strong programming proficiency in Python and modern data ...

Fujitsu

Principal Researcher

Santa Clara, CA · On-site

Proven experience with big geospatial data tools (e.g., Google Earth Engine, Planetary Computer, Xarray, Rasterio, GDAL, Apache Sedona). * Strong programming proficiency in Python and modern data ...

Planet

Customer Success Manager II

Proficiency with tools like ArcGIS, QGIS, or Google Earth Engine. * Experience navigating data-sharing agreements or government contract mechanisms. * Fluency in Spanish Application Deadline:

New

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine, or equivalent) to handle and process complex datasets. * Excellent written and verbal ...

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Trainee Google Earth Engine information

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

AspectTrainee Google Earth EngineData Analyst
Required CredentialsBasic knowledge of GIS, remote sensing, or programming; often entry-levelDegree in statistics, data science, or related field; proficiency in data tools
Work EnvironmentFocus on geospatial data processing, often in research or environmental sectorsData interpretation, reporting, and visualization across various industries
Employer & Industry UsageResearch institutions, environmental agencies, tech companiesBusiness, finance, healthcare, and technology sectors

While both roles involve data analysis, a Trainee Google Earth Engine specializes in geospatial and remote sensing data using Google Earth Engine platform, often as an entry-level position. A Data Analyst has a broader focus on interpreting various data types across industries. The roles share some technical skills but differ in domain focus and application.

What can you do with Google Earth Engine?

A Trainee in Google Earth Engine can analyze and visualize large-scale geospatial data, such as satellite imagery and environmental datasets. This platform allows for tasks like monitoring land use, tracking climate change, and developing spatial models, often requiring skills in coding and data analysis. It is used in research, environmental management, and policy planning.

What cities are hiring for Trainee Google Earth Engine jobs?

Cities with the most Trainee Google Earth Engine job openings:

What are the most commonly searched types of Google Earth Engine jobs?

The most popular types of Google Earth Engine jobs are:

What states have the most Trainee Google Earth Engine jobs?

States with the most job openings for Trainee Google Earth Engine jobs include:

What job categories do people searching Trainee Google Earth Engine jobs look for?

The top searched job categories for Trainee Google Earth Engine jobs are:

Trainee Google Earth Engine jobs near you
Infographic showing various Trainee Google Earth Engine job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution.

Sr. Data Scientist

Eightelevengroup

Indianapolis, IN • On-site

$110.21 - $121.23/hr

Other

Re-posted 2 days ago

Key responsibilities

  • Design and execute geospatial analyses to support product and business decision-making

  • Build, validate, and maintain spatial data models and pipelines

  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders

Job description

Geospatial Data Scientist

Remote

This is a Remote role.

Compensation: $80 - $88 per hour

ABOUT THE ROLE

Our client is seeking a Geospatial Data Scientist to transform complex spatial data into actionable insights and support product and business decision-making. In this role, you will work across the full geospatial data pipeline—from data ingestion and processing to analysis, modeling, and visualization—and collaborate closely with engineering and product teams to embed spatial intelligence into our platform. You will be responsible for developing and maintaining spatial data models, applying machine learning techniques to spatial problems, and creating compelling visualizations for diverse stakeholders. The ideal candidate thrives in a fully remote, asynchronous environment and brings a solid understanding of geospatial standards, coordinate reference systems, and data quality management.

WHAT YOU'LL DO
  • Design and execute geospatial analyses to support product and business decision-making
  • Build, validate, and maintain spatial data models and pipelines
  • Query and manage geospatial datasets using PostgreSQL with PostGIS
  • Work with geospatial data formats including GeoJSON, Shapefile, GeoTIFF, WKT, and WKB
  • Develop machine learning models with spatial components (clustering, classification, interpolation, etc.)
  • Create maps, dashboards, and visualizations to communicate findings to technical and non-technical stakeholders
  • Collaborate with backend engineers to integrate geospatial features into production systems
  • Evaluate and maintain geospatial data quality, coverage, and accuracy
  • Apply GIS tools (QGIS, ArcGIS, or equivalent) for spatial analysis and visualization
  • Ensure clear communication of geospatial insights in a remote, async environment
  • Maintain familiarity with geospatial standards, coordinate reference systems, and spatial indexing
  • Contribute to spatial data infrastructure and cloud-native geospatial workflows as needed
WHAT YOU BRING
  • 3–6 years of experience in data science, GIS, or a related field
  • Strong proficiency in Python for geospatial data analysis and modeling (GeoPandas, Shapely, Fiona, Rasterio, or similar)
  • Deep experience with PostgreSQL and PostGIS for spatial querying and data management
  • Familiarity with geospatial standards and formats (GeoJSON, Shapefile, GeoTIFF, WMS/WFS, WKT, WKB, etc.)
  • Experience with GIS tools such as QGIS, ArcGIS, or equivalent
  • Solid understanding of coordinate reference systems (CRS), projections, and spatial indexing
  • Experience applying machine learning techniques to spatial problems
  • Ability to communicate findings clearly in a fully remote, async environment
  • Experience with remote sensing or satellite imagery analysis (nice to have)
  • Familiarity with cloud-native geospatial tools (PostGIS on AWS RDS, Google Earth Engine, etc.) (nice to have)
  • Exposure to spatial data infrastructure (GeoServer, MapServer, Mapbox, Deck.gl) (nice to have)
  • Experience with big geospatial data processing (Apache Sedona, H3, S2) (nice to have)
  • Knowledge of Docker and containerized data workflows (nice to have)
  • Familiarity with CI/CD and version control best practices (nice to have)
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