Cloud Native Geospatial Scientist

Summary

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. They are seeking a dynamic and experienced Geospatial Scientist to develop software, manage large datasets, and collaborate with various teams to enhance operational weather forecasts.

Responsibilities

• Write and maintain clean, tested Python that runs reliably over large areas
• Work with large raster and vector datasets using cloud-native formats and storage
• Build things other teams can use, working with the Platform, Science, Modeling, and Applications teams
• Build and maintain STAC catalogs and cloud-optimized data (COG, GeoParquet, Zarr) so large datasets are searchable and quick to access
• Write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute
• Stand up and run the services that publish and tile the data, such as pgSTAC and TiTiler, and keep them reliable and versioned

Skills

• Master's in geospatial science, geography, environmental or earth science, hydrology, computer science, or a related field; or a Bachelor's plus 2 years building geospatial data pipelines, tools, or cloud-native services; or equivalent hands-on experience in place of a degree
• Strong Python and solid software habits: Git, testing, and code review
• Real experience with cloud-native geospatial formats and services, and hands-on AWS experience (our primary cloud); GCP or Azure experience also welcome
• Solid geospatial fundamentals: projections, raster and vector data, and common GIS tools
• Experience with the STAC ecosystem and tools such as pgSTAC, stac-fastapi, or TiTiler
• Distributed processing with Dask, Spark, cloud batch, or Google Earth Engine
• The modern geospatial Python stack: xarray, rasterio, geopandas, and formats like COG, GeoParquet, and Zarr
• Infrastructure-as-Code and CI/CD for AWS deployments (e.g., Terraform or CloudFormation, Docker, GitHub Actions)
• Turning models or analyses into operational, regularly updated products or forecasts
• Machine learning and remote sensing for environmental or land-cover work
• Background in hydrology or environmental science
• Colorado Front Range presence for periodic in-person collaboration

Qualifications

Must Haves

• Master's in geospatial science, geography, environmental or earth science, hydrology, computer science, or a related field; or a Bachelor's plus 2 years building geospatial data pipelines, tools, or cloud-native services; or equivalent hands-on experience in place of a degree
• Strong Python and solid software habits: Git, testing, and code review
• Real experience with cloud-native geospatial formats and services, and hands-on AWS experience (our primary cloud); GCP or Azure experience also welcome
• Solid geospatial fundamentals: projections, raster and vector data, and common GIS tools

Nice to Haves

• Experience with the STAC ecosystem and tools such as pgSTAC, stac-fastapi, or TiTiler
• Distributed processing with Dask, Spark, cloud batch, or Google Earth Engine
• The modern geospatial Python stack: xarray, rasterio, geopandas, and formats like COG, GeoParquet, and Zarr
• Infrastructure-as-Code and CI/CD for AWS deployments (e.g., Terraform or CloudFormation, Docker, GitHub Actions)
• Turning models or analyses into operational, regularly updated products or forecasts
• Machine learning and remote sensing for environmental or land-cover work
• Background in hydrology or environmental science
• Colorado Front Range presence for periodic in-person collaboration

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
• 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
• Employee Referral Program
• Free centralized, self-directed Learning Management System to learn at your own pace
• Personalized career growth plans for every employee