Scientific Computing & Geospatial Engineer

Lynker is seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure. This role works at the intersection of environmental science and high-performance software development, contributing to national-scale flood forecasting, terrain analysis, and hydrologic modeling systems.

Responsibilities:

• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows
• Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF
• Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale
• Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software
• Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery
• Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems
• Apply modern software practices including Docker, CI/CD, and automated testing across all development work
• Perform related duties as assigned

Requirements:

• 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 numpy, pandas, xarray, and geopandas
• Experience processing large geospatial or environmental datasets using GDAL or equivalent tools
• Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches
• Experience with AWS storage and compute workflows (S3, EC2, batch)
• Solid software engineering fundamentals — version control, testing, CI/CD, Docker
• Ability to work independently on complex assignments and deliver sound technical recommendations
• Strong written and oral communication skills for documentation and cross-disciplinary collaboration
• Experience with Rust for high-performance scientific or geospatial computing
• Background in flood inundation mapping, hydrologic modeling, or remote sensing
• Cloud infrastructure automation using Terraform or AWS CDK
• HPC or accelerated computing experience
• Experience with ensemble or gridded meteorological data formats