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Remote Flood Modeling Jobs in Alabama (NOW HIRING)

Remote Flood Modeling information

What is remote flood modeling?

Remote flood modeling is the process of using computer models and remote sensing data, such as satellite imagery and aerial photography, to predict, simulate, and analyze flood events without being physically present at the flood site. This approach enables experts to assess flood risks, monitor ongoing floods, and plan mitigation strategies from anywhere in the world. Remote flood modeling combines hydrological data, weather forecasts, and advanced software to create detailed maps and forecasts, which are crucial for disaster response, urban planning, and environmental management.

What are the key skills and qualifications needed to thrive as a Remote Flood Modeler, and why are they important?

To thrive as a Remote Flood Modeler, you need a strong background in hydrology, GIS, and remote sensing, typically supported by a degree in environmental science, engineering, or a related field. Proficiency with modeling software such as HEC-RAS, ArcGIS, and remote sensing analysis tools, as well as familiarity with Python or MATLAB for data processing, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualifications ensure accurate flood risk assessments, informed decision-making, and effective communication of findings to stakeholders.

What is the difference between Remote Flood Modeling vs Remote Hydrologic Modeling?

AspectRemote Flood ModelingRemote Hydrologic Modeling
Required CredentialsBachelor's in Civil, Environmental, or Geospatial Engineering; GIS certificationsBachelor's in Hydrology, Environmental Science, or Civil Engineering; GIS certifications
Work EnvironmentRemote, GIS and modeling softwareRemote, hydrological data analysis and simulation
Industry UsageFlood risk assessment, urban planningWater resource management, watershed analysis
Common Search/ComparisonRemote Flood Modeling vs Remote Hydrologic Modeling

Remote Flood Modeling and Remote Hydrologic Modeling share similar skills and work environments, often requiring GIS and modeling certifications. Flood modeling focuses on predicting flood extents and risks, while hydrologic modeling emphasizes water flow and watershed processes. Both roles are essential in water management and urban planning, with overlapping tools and data analysis techniques.

What are some common challenges faced by remote flood modelers, and how can they be overcome?

Remote flood modelers often face challenges such as limited access to on-site data, coordinating with geographically dispersed teams, and managing large datasets from various sources. These can be addressed by leveraging advanced remote sensing technologies, utilizing cloud-based collaboration tools, and establishing clear communication protocols with team members and stakeholders. Staying updated with the latest modeling software and data integration techniques also helps ensure high-quality results despite the remote nature of the work.
What are the most commonly searched types of Flood Modeling jobs in Alabama? The most popular types of Flood Modeling jobs in Alabama are:
What cities in Alabama are hiring for Remote Flood Modeling jobs? Cities in Alabama with the most Remote Flood Modeling job openings:

Scientific Computing & Geospatial Engineer

Lynker Corporation

Tuscaloosa, AL • On-site, Remote

$85K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Overview
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
Duties of the Scientific Computing & Geospatial Engineer may include but are not limited to:
  • 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
The Scientific Computing & Geospatial Engineer selected should have the following:
  • 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

The Ideal candidate will have the following:
  • Expereince 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.
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.
Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.