Geospatial Data Engineer

Pano AI

2d • Hybrid

About The Position

Join our data platform team building critical infrastructure for wildfire detection! As our Geospatial Data Engineer, you'll design and implement systems that process spatial data from distributed camera networks and satellite imagery to identify wildfires in their earliest stages.
You'll work with multi-modal geospatial datasets—managing camera telemetry, spatial indexes, coordinate transformations, and large-scale image repositories from remote sensing systems deployed across vulnerable landscapes. Your infrastructure will handle real-time ingestion and processing of spatial data streams. The role involves building robust data pipelines for both structured geospatial data (map layers, third-party incident data, terrain models) and unstructured image data at scale. You'll collaborate with AI engineers and platform architects to optimize data workflows, implement efficient spatial querying systems, and maintain the reliability of data infrastructure that operates 24/7 in production.
We're looking for someone with hands-on experience in geospatial data engineering who wants to apply their skills to a meaningful problem. If you have strong fundamentals in spatial databases, data pipeline development, and large-scale data processing—and you're interested in working on infrastructure that directly supports wildfire detection—we'd like to hear from you.

Requirements

• 3+ 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)

Nice To Haves

• Experience with Google Cloud
• Experience with containerization, including Kubernetes
• Experience with CI/CD
• Familiarity with vector and raster data formats
• Excellent communication skills

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

Benefits

• In addition to base salary, full-time roles are eligible for stock options.
• Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level