Scientific Computing & Geospatial Engineer

Lynker; Tuscaloosa (AL); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Comprehensive healthcare with no monthly cost

401(k) retirement plan with company-matching

Tuition assistance/Training reimbursement

Job summary

Lynker is looking for a motivated Senior Scientific Computing & Geospatial Engineer in Tuscaloosa, Alabama. The role involves supporting hydrologic and geospatial data infrastructure for national-scale projects like flood forecasting and terrain analysis.

The ideal candidate will have a background in environmental science and high-performance software development, and must be proficient in scientific Python and AWS workflows. Comprehensive benefits and flexible spending plans are included in this position.

Qualifications

• Bachelor's degree in a relevant field; MS or above is a plus.
• 3+ years relevant software development experience.
• Ability to work independently and deliver technical recommendations.

Responsibilities

• Design and build high-throughput raster and terrain processing pipelines.
• Develop and maintain cloud-native geospatial data pipelines.
• Collaborate with hydrologists and scientists to translate requirements into software.

Skills

Scientific Python including numpy, pandas, xarray, geopandas

Software development

Geospatial data processing

AWS workflows (S3, EC2, batch)

Education

Bachelor's degree in computer science, geospatial science, hydrology, or related field

Tools

GDAL

Docker

Job description

Lynker is seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure. This role works at the intersection of environmental science and high-performance software development, contributing to national-scale flood forecasting, terrain analysis, and hydrologic modeling systems that operational forecasters and emergency managers depend on every day. The ideal candidate is comfortable moving between backend engineering, raster and terrain processing, scientific Python workflows, and cloud-native data infrastructure and is motivated by the idea that their code outputs matter in the real world.

Responsibilities

• 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

Qualifications

• 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

Preferred Qualifications

• Experience with Rust for high-performance scientific or geospatial computing
• Background in flood inundation mapping, hydrologic modeling, or remote sensing
• Cloud infrastructure automation using Terraform or AWS CDK
• HPC or accelerated computing experience
• Experience with ensemble or gridded meteorological data formats

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.

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

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.