Scientific Computing & Geospatial Engineer
About The Position
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 that operational forecasters and emergency managers depend on every day. The ideal candidate is comfortable moving between backend engineering, raster and terrain processing, scientific Python workflows, and cloud-native data infrastructure and is motivated by the idea that their code outputs matter in the real world.
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
Nice To Haves
- 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
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
Benefits
- Comprehensive healthcare for the employee at no monthly cost
- Healthcare benefit covers medical, prescription drug, dental, and vision
- Personal Time Off (PTO) Policy plus paid holidays
- Highly competitive compensation plan regularly calibrated against industry and location benchmarks
- 401(k) retirement plan with company-matching
- Employee Stock Ownership Plan (ESOP) – we're all company owners!
- Flexible spending accounts
- Employee assistance program (EAP)
- Short- and long-term disability insurance
- Life and accident insurance
- Tuition assistance/Training/Workforce improvement reimbursement per year
- Spot bonuses for exceptional performance
- Annual Employee Recognition Awards with bonuses
- Employee Referral Program
- Free centralized, self-directed Learning Management System to learn at your own pace
- Personalized career growth plans for every employee
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
