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.
• Design and implement novel predictive, statistical, and machine learning models.

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.

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.