Remote Sensing Data Engineer

Living Carbon

Remote, USA

Posted on: 2026-01-07

Category: carbon

Apply now

Please let Living Carbon know you found this job on Work in Green. This will help us grow!

Apply to job

Employment type:

Full time

Remote?

Yes

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Public benefit company on a mission to fight climate change by genetically enhancing CO2 capture and storage in trees.

Living Carbon is a public benefit company with a mission to fight climate change by transforming marginal land into high-value environmental assets. Our team specializes in restoring abandoned mineland and degraded agricultural land into diverse, thriving forests. We’re backed by prominent investors including Temasek, Toyota Ventures, Lowercarbon Capital, Felicis Ventures, and YCombinator.

We are looking for a Remote Sensing Data Engineer to conduct geospatial analyses,develop reporting tools and infrastructure, manage GIS data, and work cross-functionally with other team members. We are seeking a proactive and collaborative self-starter with intimate knowledge of remote sensing and data engineering. A successful candidate will be adaptive and creative with a depth of knowledge in remote sensing, an understanding of geospatial datasets used in natural resource management, strong analytical skills, and proficiency in one or more programming languages.

This position will report to the Director of Carbon Science on the Living Carbon’s Commercial Team. We are an efficient and highly collaborative team of project development experts. We strive to develop innovative best-in-class reforestation projects that bring value to our partners and the environment.

Living Carbon PBC is an equal opportunity employer.

We believe the best solutions to climate change are created by diverse teams. Living Carbon is focused on building a multicultural and inclusive team with strong representation from the many diverse communities disproportionately impacted by climate change. As a public benefit corporation, ensuring solutions to slow climate change are widely distributed to all peoples is critical to the success of our mission.

Responsibilities

Summary: Conduct remote sensing analytics and modeling; develop scalable analytical and reporting tools; manage GIS data collection, storage, and version control across team members; engage in strategic planning & process improvement; provide support to collaborate with Land and Forestry teams

Data Analysis & Modeling

Manage and analyze large datasets off-line and in cloud computing and storage platforms.

Analyze large and complex geospatial datasets and remote sensing data (e.g. satellite imagery, LiDAR, SAR, multispectral data, etc.)

Design and implement novel predictive, statistical, and machine learning models related to forestry, land use, carbon sequestration, biodiversity, conservation planning, and climate resilience.

Develop scalable analytical and reporting tools

Automate statistical and geospatial analysis processes using Python, R, or other programming languages

Create clear and impactful reporting tools (e.g. maps, webapps, dashboards) to communicate geospatial information and insights

Facilitate data accessibility using ArcGIS, QGIS, or other proprietary tools for ease of use across team members

Data Storage & Management

Maintain and update internal geospatial databases, ensuring data quality, consistency, and version control

Integrate data from Land, Forestry, and Carbon teams to support commercial initiatives

Ensure high standards of data accuracy and ethical use in all geospatial analyses and models.

Conduct quality control checks on geospatial datasets

Cross-Team Functions

Provide technical mapping support to other team members as needed.

Work closely with Land, Forestry, and Carbon teams to uncover new operational insights

Strategic Planning & Process Improvement

Identify opportunities to improve geospatial workflows and contribute to the development of best practices.

Support research and development efforts in geospatial analytics and remote sensing applications.

Assist in the identification and development of new project opportunities

Qualifications

Education: A MSc or PhD with >2+ years in Data Science, Computer Science, Remote Sensing, GIS, Spatial Ecology, Environmental Science, or a related field

Programming Skills: Proficiency in Python, R, Java, SQL with experience using geospatial libraries, and machine learning analytics

GIS & Remote Sensing Expertise: Strong skills in GIS software (ArcGIS, QGIS, Google Earth Engine) and remote sensing data and processing (e.g., Landsat, Sentinel, MODIS, GEDI, etc); Knowledge of geostatistics, predictive modeling, spatiotemporal analysis

Data Engineering & Cloud Computing: Experience building data pipelines, ETL processes, and spatial databases and working with cloud computing platforms.

Problem-Solving & Communication: Strong analytical skills and ability to communicate complex findings effectively to diverse audiences.