云原生地理空间科学家
Cloud Native Geospatial Scientist
Lynker Corporation 是一家领先的天气和气候科学创新解决方案提供商。我们致力于卓越并热衷于创新，利用前沿技术和科学专业知识，支持改进的业务天气预报的创建和交付。作为我们持续增长和扩展的一部分，我们正在寻找一位充满活力且经验丰富的地理空间科学家加入我们的团队。
我们处理大量的地形、水文和影像数据，其中大部分价值来自于对这些数据的组织，使建模人员能够实际找到并使用它们。在 Lynker，我们构建了全国范围内用于水模型的水文和环境数据，并以现代地理空间团队的方式交付：作为云原生数据和实时产品，而不是静态文件和一次性分析。这两个职位将构建该数据管道以及在其上运行的产品。
我们正在招聘两名具备强大软件开发技能的地理空间科学家。一个职位侧重于数据基础设施：STAC 目录、云优化格式（Cloud Optimized GeoTIFFs、GeoParquet 和 Zarr），以及可扩展的处理管道。另一个职位侧重于运营产品：将这些数据转化为水文和环境图层、服务以及定期更新的科学产品。大部分工作使用 Python，具有水文学或环境科学背景是一个很大的优势。在某一领域有深厚能力并有兴趣向另一领域发展的候选人欢迎申请；请注明您的强项所在。
职责
地理空间科学家的职责包括以下内容：
共享职责：
- 软件开发：编写并维护可在大范围区域可靠运行的干净、经过测试的 Python 代码。
- 大规模数据：使用云原生格式和存储处理大规模栅格和矢量数据集。
- 协作：与其他团队一起构建他们可以使用的工具，与平台、科学、建模和应用团队合作。
重点一：数据管道与云原生基础设施
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目录与格式：构建和维护 STAC 目录和云优化数据（COG、GeoParquet、Zarr），使大型数据集可搜索且访问快速。
- 管道：编写可重复的数据处理管道，以区域到大陆尺度处理地形、水文和影像数据，使用分布式计算。
- 服务：搭建并运行发布和切片数据的服务，如 pgSTAC 和 TiTiler，并保持其稳定运行。
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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 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.
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:
- 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 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.
Originally posted on Himalayas