Remote Sensing Scientist, Geospatial Software Engineer – Nature-based Solutions

Terra Global Capital, LLC.

Remote Sensing Scientist and Geospatial Software Engineer at Terra Global focusing on Nature-based Solutions. Collaborating on remote sensing analysis and climate finance projects within a global team.

Posted 7/29/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $68,000 - $100,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Remote Sensing Analysis, including data acquisition, geometric and radiometric correction, and land cover classification. Proficient in GIS technologies, Python programming, and Nature-based Solutions, with a strong understanding of GHG accounting and carbon monitoring methodologies.

Highest-signal resume keywords

Remote Sensing AnalysisGIS ExpertisePython ProgrammingNature-Based Solutions (NbS)GHG Accounting

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Applicant Tracking System Keywords

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Hard Skills

Land Cover ClassificationGeometric CorrectionRadiometric CorrectionData AcquisitionGeo-Database DesignMachine Learning PackagesLand Use Change AnalysisSpatial Data ManagementTechnical GHG ProtocolData Extraction and Analysis

Tools & Technologies

ESRI ArcGISQGISGoogle Earth EngineAWSMS Office Suite

Industry Keywords

Nature-Based SolutionsCarbon MonitoringGHG Emissions ValidationForestryAgriculture

Tech Stack

Tools & technologies

AWSCloudJavaScriptPythonRemote Sensing

About the role

Key responsibilities & impact

Executing the workflow of remote sensing analysis (data acquisition, re-projection, geometric correction, radiometric correction, classification, and map production).
Collecting, generating and managing spatial data at project, regional and global scales.
Collecting imagery and data to perform land cover classification.
Performing landcover classification and post classification processes.
Running and improving the existing Python code to manipulate large raster datasets.
Executing land-use change modeling and GHG accounting at site-based and jurisdictional scales.
Contribute to developing biomass calculations associated with land-use change.
Work closely with project managers to review spatial data received from partners.
Developing technical aspects of AFOLU GHG projects and programs and provide guidance to project developers regarding project typology, eligible methodologies and mechanics of carbon monitoring, reporting and verification.
Contribute to creation and review of carbon feasibility studies, Project Documents and Monitoring and Implementation Reports including background research and creation of content.
Visiting project sites in developing countries, for data gathering and sharing, mapping and collecting ground-truthing data.

Requirements

What you’ll need

A minimum of seven (7) to ten (10) years of progressive, relevant GIS/RS experience in applications that involve forestry, agriculture and/or land-use change analysis in developing countries.
At least a Bachelor’s degree in Computer Science, Forestry, Geography, Remote Sensing/Geospatial Science or related field, or equivalent experience is required.
Technical Skills Expertise in Nature-based Solutions (NbS), including an understanding of the technical requirements of all main NbS standards.
Experience in the audit process for validation and verification of emissions reductions and removals credits (e.g., methodologies, process) and technical GHG protocol aspects.
In-depth understanding of ESRI ArcGIS platform, including ArcGIS Desktop/Pro, Server, Enterprise/Portal, and Image Server.
Knowledge of open-source geospatial solutions like QGIS and Google Earth Engine.
Knowledge of acquisition, management, interpretation, and exploitation of remote sensing data including spaceborne, airborne, and UAV data and imagery, mosaics, and LiDAR.
In-depth technical knowledge and skills including geo-database design and spatial relationships.
Technical knowledge and skills performing land use and land cover change maps using different sources of satellite imageries including multispectral imagery and radar data.
Good understanding of Python, including GDAL package and JavaScript.
Fluency with the MS Office suite, including formatting in Word and advanced Excel skills.
Knowledge and strong understanding of machine learning packages.
Knowledge of public cloud services (AWS) and CI/CD tools.
Thorough understanding of (geo-)statistics and data extraction and analysis.

Benefits

Comp & perks

Professional Growth: thrive on the opportunity to learn through training and development with dedicated professionals working from different countries around the world
Collaboration: join a great team atmosphere and a corporate culture based on mutual respect, partnerships, flat reporting structures and the opportunity to work from home.