Cloud Native Geospatial Scientist

🕒 4 dias atrás

⛰️ Colorado – Remoto

⛰️ Colorado – Remote

💵 $80.000 - $120.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🗺️ GIS

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Lynker

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

💼 Consultoria

🔬 Ciência

Consulting • Science • Engineering

A Lynker é uma empresa líder em ciência, engenharia e tecnologia, que se especializa em fornecer soluções inovadoras em ciência do clima e meteorologia, ciência e engenharia marinha/oceânica, e clima e meteorologia espacial. A empresa colabora com governos, comunidades e indústrias para oferecer serviços impactantes que abordam a segurança ambiental global e a prosperidade econômica. Aproveitando o conhecimento de uma equipe de cientistas, engenheiros e educadores qualificados, a Lynker enfrenta algumas das missões e desafios mais importantes da nação, além de se concentrar em treinamentos, comunicação e divulgação para políticas ambientais eficazes e conformidade.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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