> Markdown version of [/jobs/ext/1902212-cloud-native-geospatial-scientist](https://www.wearedevelopers.com/jobs/ext/1902212-cloud-native-geospatial-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Native Geospatial Scientist - **Company:** Lynker Technologies - **Location:** Boulder, CO, United States - **Salary:** $45,760.0 - $49,920.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Data Infrastructure, Distributed Computing Environment, GIS Applications, Github, Python (Programming Language), Machine Learning, Software Engineering, Apache Spark, Git, Cloudformation, Information Technology, Dask, Terraform, Data Pipelines, Raster Graphics, Serverless Computing, Docker - **Published:** August 1, 2026 - **Apply:** https://www.jofdav.com/jobs/59054357-cloud-native-geospatial-scientist ## About the Role 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. ## Description 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., Duties of the Geospatial Scientist will include the following, * 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., * 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., * 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 ## Related Videos - [Seriously gaming your cloud expertise: from cloud tourist to cloud native](https://www.wearedevelopers.com/videos/373-seriously-gaming-your-cloud-expertise-from-cloud-tourist-to-cloud-native) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)