Scientific Computing, Geospatial Engineer

🕒 June 12

🏈 Alabama – Remote

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💵 $85k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗺️ GIS

🦅 H1B Visa Sponsor

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👻 Ghost score 14%

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Logo of Lynker

Lynker

501 - 1000 employees

Founded 2007

💼 Consulting

🔬 Science

Consulting • Science • Engineering

Lynker is a premier science, engineering, and technology company that specializes in providing innovative solutions in weather and climate science, marine/ocean science and engineering, and space weather and space climate. The company partners with governments, communities, and industries to deliver impactful services that address global environmental security and economic prosperity. By leveraging a team of skilled scientists, engineers, and educators, Lynker tackles some of the nation’s most important missions and challenges, while also focusing on training, communications, and outreach for effective environmental policy and compliance.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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