Remote Sensing Data Engineer

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.)

Develop Scalable Analytical & 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

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