Geospatial Data Engineer

Pano AI is a growth-stage hybrid-remote start-up leading in early wildfire detection and intelligence. The Geospatial Data Engineer will design and implement systems to process spatial data for identifying wildfires, collaborating with AI engineers to optimize data workflows and maintain reliable data infrastructure.

Responsibilities:

• Develop pipelines to ingest, process, and publish data, including data from Pano's proprietary equipment and relevant publicly available datasets
• Develop internal tools for managing key internal processes, including dataset creation, data management (e.g. video creation), and results evaluation
• Build and manage large-scale cloud pipelines that process images and structured data sources
• Manage and optimize data systems across in-house and cloud systems, taking advantage of the latest technical developments
• Enable Pano to scale AI detection by focusing on the overall system lifecycle, including monitoring and improving system reliability, and optimizing for platform costs

Requirements:

• 5+ years of software engineering experience plus a BS in Computer Science or equivalent
• 2+ years of experience programming in Python
• 2+ years of experience building data systems on cloud service providers
• 2+ years of experience working with relational databases (e.g. PostgreSQL)
• Experience with Google Cloud
• Experience with containerization, including Kubernetes
• Experience with CI/CD
• Familiarity with vector and raster data formats
• Excellent communication skills