About the Role
The role involves building robust data pipelines and analytical tools to transform large-scale geospatial datasets into actionable insights for environmental applications.
Responsibilities
- Develop and maintain scalable data processing workflows for satellite imagery and sensor data
- Design systems to handle high-volume geospatial datasets with low latency
- Collaborate with data scientists to implement models for forest change detection
- Optimize storage and retrieval of raster and vector geospatial data
- Ensure data accuracy and consistency across processing stages
- Integrate third-party geospatial APIs and data sources
- Support the creation of visualizations and dashboards for environmental metrics
- Write clean, testable code with comprehensive documentation
- Troubleshoot performance issues in distributed data systems
- Work with product teams to translate environmental monitoring needs into technical solutions
- Implement automated data quality checks and anomaly detection
- Contribute to architecture decisions for cloud-based geospatial platforms
- Maintain security and access controls for sensitive environmental datasets
- Participate in code reviews and technical planning sessions
- Stay current with advancements in remote sensing and geospatial technologies
Compensation
Competitive salary with equity and benefits package
Work Arrangement
Remote with flexible hours; some team coordination across time zones
Team
Small, interdisciplinary team focused on environmental technology and data systems
About the Role
This position is central to developing systems that analyze forest health and detect deforestation using satellite data. Engineers will work closely with data scientists and product managers to deliver accurate, timely insights.
What We Value
We prioritize technical excellence, environmental impact, and collaborative problem-solving. Candidates should demonstrate a track record of building reliable systems with real-world applications in sustainability.
Available for qualified candidates