Scientific Computing Engineer

Job Summary

To support large-scale hydrologic and geospatial data infrastructure, the full-time remote Scientific Computing & Geospatial Engineer will design and build processing pipelines, develop cloud-native data solutions, and optimize scientific workflows for national-scale applications.

Key responsibilities

• Design and build high-throughput raster and terrain processing pipelines for flood mapping and terrain analysis
• Develop and maintain cloud-native geospatial data pipelines across various formats
• Collaborate with hydrologists and scientists to translate domain requirements into reliable software solutions

Required qualifications

• Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus)
• 3+ years of relevant software development experience
• Strong scientific Python experience, including libraries such as numpy, pandas, and geopandas
• Experience processing large geospatial datasets using GDAL or equivalent tools
• Familiarity with AWS storage and compute workflows (S3, EC2, batch)