Job Description:

Lynker Technologies Cloud Native Geospatial Scientist US-CO-Boulder Job ID:

2026-1641

Type:

Full-Time # of

Openings:

1 Boulder, CO Overview 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. Candidates with deep strengths in one area and an interest in growing into the other are encouraged to apply; please indicate where your strengths lie. Responsibilities Duties of the Geospatial Scientist will include the following:

SHARED RESPONSIBILITIES

Software development: write and maintain clean, tested Python that runs reliably over large areas. Large-scale 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.

E EMPHASIS ONE

DATA

PIPELINES & CLOUD-NATIVE INFRASTRUCTURE E

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.

EMPHASIS TWO

GEOSPATIAL

PRODUCTS & ENVIRONMENTAL ANALYSIS

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. Qualifications The Geospatial Scientist selected should have the following: 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. The Ideal Geospatial Scientist will have the following: 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. About Lynker 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: Personalized career growth plans for every employee Lynker is an E-Verify employer. 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 . Equal employment opportunity, including veterans and individuals with disabilities.

PI286195256

Salary:

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