Cloud Native Geospatial Scientist
Lynker
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Benefits offered by this job
Job summary
Lynker is seeking a Geospatial Scientist to join our team in Boulder, CO. You will apply Python-based workflows to build scalable data pipelines and deliver cloud-native geospatial products for hydrology and environmental science.
Ideal candidates have strong Python skills, experience with cloud platforms (AWS), and familiarity with STAC, TiTiler, and geospatial formats like COG, GeoParquet, and Zarr. In person collaboration in Colorado Front Range is expected.
Qualifications
- Master's in geospatial science, geography, environmental or earth science, hydrology, computer science, or a related field
- Bachelor's + 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; GCP or Azure welcome
- Solid geospatial fundamentals: projections, raster and vector data, and common GIS tools
Responsibilities
- Software development write and maintain clean, tested Python that runs reliably over large areas.
- Large-scale data work with large raster and vector datasets using cloud-native formats and storage.
- Collaboration build things other teams can use, working with Platform, Science, Modeling, and Applications teams.
- Catalogs & formats build and maintain STAC catalogs and cloud-optimized data (COG, GeoParquet, Zarr) so large datasets are searchable and quick to access.
- Pipelines write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute.
- Services stand up and run the services that publish and tile the data, such as pgSTAC and TiTiler, and keep them reliable and versioned.
- Products turn data into hydrologic and environmental map layers, and help move models into operational scientific products and forecasts that are regularly updated.
- Analysis apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping.
- Usable outputs make outputs that are clear and usable for scientists, partners, and downstream applications.
Skills
Education
Tools
Job description
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. 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.
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Scientist to join our growing team.
We work with terabytes of terrain, hydrography, and imagery, and much of the value comes from organizing it so a modeler can actually find and use it. At Lynker, we build the hydrologic and environmental data behind water models used nationwide, and we deliver it the way modern geospatial teams do as cloud-native data and live products, not static files and one-off analyses. These two roles build that pipeline and the products that run on top of it.
We are hiring two Geospatial Scientists with strong software development skills. One role leans toward data infrastructure STAC catalogs, cloud-optimized formats (Cloud Optimized GeoTIFFs, GeoParquet, and Zarr), and scalable processing pipelines. The other leans toward operational products turning that data into hydrologic and environmental layers, services, and regularly updated scientific products. Most of the work is in Python, and a background in hydrology or environmental science is a strong advantage.
- Software development write and maintain clean, tested Python that runs reliably over large areas.
- Large-scale data work with large raster and vector datasets using cloud-native formats and storage.
- Collaboration build things other teams can use, working with the Platform, Science, Modeling, and Applications teams.
- Catalogs & formats build and maintain STAC catalogs and cloud-optimized data (COG, GeoParquet, Zarr) so large datasets are searchable and quick to access.
- Pipelines write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute.
- Services stand up and run the services that publish and tile the data, such as pgSTAC and TiTiler, and keep them reliable and versioned.
- Products turn data into hydrologic and environmental map layers, and help move models into operational scientific products and forecasts that are regularly updated.
- Analysis apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping.
- Usable outputs make outputs that are clear and usable for scientists, partners, and downstream applications.
- 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.
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. 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 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
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws
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