Geospatial Developer Flood Inundation Mapping & Hydro fabric Solutions

Lynker Technologies-posted 9 months ago

$75,000 - $105,000/Yr

Full-time • Entry Level

Remote • Leesburg, VA

Professional, Scientific, and Technical Services

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Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. Lynker is seeking a Geospatial Developer to support our contract in advancing flood inundation mapping and hydrofabric solutions. This role will contribute to developing, optimizing, and deploying models and tools in cloud computing environments, supporting real-time flood forecasting products across the US. The ideal candidate has a strong background in geospatial development, hydrologic modeling, and cloud-based data processing.

Develop and optimize Python-based geospatial data processing workflows.
Run and evaluate various flood inundation mapping tools.
Develop, test, and deploy solutions using open-source libraries and tools.
Process and analyze large geospatial datasets, including Digital Elevation Models and hydrofabric datasets.
Contribute to model optimization efforts, ensuring scalability, reproducibility, and maintainability in a cloud computing environment.
Enhance model performance by identifying and resolving computational inefficiencies.
Collaborate with scientists, engineers, and software developers to implement and improve existing modeling tools.
Prepare reports, publications, and presentations summarizing modeling and software development efforts.
Stay informed on emerging technologies in hydrologic modeling, GIS, cloud computing, and machine learning.

MS or PhD in Hydrology, Water Resources Engineering, Geospatial Science, or a related field.
Strong background in hydrologic and hydraulic modeling, flood inundation mapping, and geospatial processing.
Advanced programming proficiency in Python; experience with R is a plus.
Experience working with large geospatial datasets.
Proficiency with GIS software (e.g., QGIS) and open-source geospatial processing tools.
Experience with AWS cloud resources for geospatial processing.
Strong analytical skills and the ability to work independently on multiple tasks.
Experience with software development best practices, including code testing, version control (Git), and collaborative development.

Experience with Machine Learning (ML) applications in hydrology and geospatial analysis.
Familiarity with the Height Above Nearest Drainage (HAND) technique.
Knowledge of tools and techniques to spatially and temporarily evaluate FIM predictions.
Experience developing probabilistic prediction products.

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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