Scientific Computing, Geospatial Engineer

🕒 Junho 12

🏈 Alabama – Remoto

🏈 Alabama – Remote

💵 $85.000 - $120.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🗺️ 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

• Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows • Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF • Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale • Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software • Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery • Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems • Apply modern software practices including Docker, CI/CD, and automated testing across all development work • Perform related duties as assigned

🎯 Requisitos

• Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus) • 3+ years of relevant software development experience • Strong scientific Python experience including numpy, pandas, xarray, and geopandas • Experience processing large geospatial or environmental datasets using GDAL or equivalent tools • Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches • Experience with AWS storage and compute workflows (S3, EC2, batch) • Solid software engineering fundamentals — version control, testing, CI/CD, Docker • Ability to work independently on complex assignments and deliver sound technical recommendations • Strong written and oral communication skills for documentation and cross-disciplinary 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