Pano AI
Wildfire detection
GeospatialDataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Geospatial Data Engineer at Pano AI. Skills: Python, SQL, PostgreSQL, PostGIS. Design, build, and maintain scalable data pipelines. Develop and optimize PostGIS and PostgreSQL database schemas”
Industry & Context.
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Geography, Statistics, Math, or a related field, 2–4 years of experience in data engineering, software engineering, or a closely related role, Proficiency in Python, experience writing modular, tested, and maintainable code using geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL, Solid SQL skills, hands-on experience with PostgreSQL and PostGIS for querying and managing spatial data, Fluency with Git/GitHub workflows, including branching strategies, pull requests, and code reviews, Working knowledge of geospatial data formats (GeoJSON, GeoTIFF, Shapefile, etc. ) and coordinate reference systems, Experience building or maintaining ETL or data pipeline workflows in a production environment, communication skills, ability to work collaboratively across technical and non-technical stakeholders
Nice to Have
Experience with ArcGIS Pro or QGIS
What You'll Do.
and maintain scalable data pipelines
Develop and optimize PostGIS and PostgreSQL database schemas
Write and maintain Python-based automation scripts
Monitor and maintain data quality
Support integration of geospatial data infrastructure
Support analytics workflows
Contribute to special projects
How You'll Work.
Team & Collaboration
Collaborate with geospatial data analysts and scientists; work collaboratively across technical and non-technical stakeholders
Communication Scope
communication skills
Full Job Description
HELP US TACKLE THE GROWING WILDFIRE CRISIS WITH THE LATEST ADVANCEMENTS IN AI AND IOT WHO WE ARE The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos. About Pano: We are a 175+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence. Pano AI has been recognized by Fast Company as one of the Top 10 Most Innovative AI Companies in 2023, https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023 and as one of the Top 50 Most Innovative Companies of 2026 https://www.fastcompany.com/91502951/pano-ai-most-innovative-companies-2026—ranking #1 in the Sustainability category. The company was also named to TIME’s https://www.linkedin.com/company/time/ list of the 100 Most Influential Companies of 2025 https://time.com/collections/time100-companies-2025/7289577/pano-ai/ and identified by MIT Techno
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