Senior Geospatial Engineer: Cloud-Scale Flood Modeling

Lynker Corporation; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare for employee

Dental & vision coverage

PTO and paid holidays

401(k) with company match

ESOP - employee ownership

Life and disability insurance

Tuition assistance

Spot bonuses

Employee Recognition Awards

Learning Management System access

Career growth plans

Job summary

Lynker Corporation is seeking a Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure for national-scale flood forecasting and terrain analysis.

The role requires strong Python expertise (NumPy, Pandas, Xarray, GeoPandas), experience with GDAL and cloud-native data formats, and a track record in scalable HPC workflows on AWS. Collaboration with hydrologists and modeling teams is essential.

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 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
• Expereince 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, ensemble or gridded meteorological data formats

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

Skills

Python (scientific)

NumPy

Pandas

Xarray

Geopandas

CI/CD

Version control

Testing

Communication skills

Education

Bachelor's degree in computer science, geospatial science, hydrology, or related field

MS or above preferred

Tools

GDAL

AWS (S3, EC2, Batch)

Docker

Terraform

AWS CDK

Rust

Job description

Lynker Corporation is seeking a Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure for national-scale flood forecasting and terrain analysis.

The role requires strong Python expertise (NumPy, Pandas, Xarray, GeoPandas), experience with GDAL and cloud-native data formats, and a track record in scalable HPC workflows on AWS. Collaboration with hydrologists and modeling teams is essential.