Lynker
Cloud Native Geospatial Scientist
Boulder, CO, US
Sponsorship not specified$80k-$120kDetected 23 hours ago
PythonFastAPIGitAWSGCPAzureDockerTerraformCI/CDGitHub ActionsMachine LearningSparkData EngineeringGISCollaborationRemote Sensing
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odds of building a lasting career here
47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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About the role
- Overview Lynker Corporation is a leading provider of innovative solutions in weather and climate science.
- Pipelines: write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute.
Responsibilities
- With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.
- Software development: write and maintain clean, tested Python that runs reliably over large areas.
- 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.
Requirements
- Real experience with cloud-native geospatial formats and services, and hands-on AWS experience (our primary cloud); GCP or Azure experience also welcome.
- Experience with the STAC ecosystem and tools such as pgSTAC, stac-fastapi, or TiTiler.
Skills
- Large-scale data: work with large raster and vector datasets using cloud-native formats and storage.
Compensation
- Lynker's benefits include the following: 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 competit
Benefits
- Machine learning and remote sensing for environmental or land-cover work.
Company info
- As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Scientist to join our growing team.
- Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
This listing is sourced directly from Lynker's careers page and normalized into a canonical job model.