Cloud-Native Geospatial Scientist — Scalable Data Pipelines & Maps

Lynker; Boulder (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

PTO

401(k)

ESOP

Tuition assistance

Disability insurance

Life insurance

Spot bonuses

Annual awards

Employee referral program

LMS - Learning Management System

Career growth plans

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

Python

AWS

Git

Testing

Code review

Dask

Spark

Education

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

Tools

pgSTAC

stac-fastapi

TiTiler

Terraform

CloudFormation

Docker

GitHub Actions

Job description

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.