Hydrology Engineer – Water Resources & Flood Modeling

Remotely
Full-time

Safeguard communities and ecosystems as a Hydrology Engineer specializing in data-driven watershed modeling, flood flow forecasting, and drought resilience.


Key Responsibilities  

- Analyze multi-decade rainfall and streamflow records, cleansing and validating raw data for statistical soundness.  

- Delineate complex watersheds and quantify runoff using HEC-HMS, TR-55/20, and custom Python scripts.  

- Build, calibrate, and stress-test hydrologic models that predict surface- and ground-water interaction under changing climate scenarios.  

- Prepare floodplain maps, support FEMA submittals, and inform stormwater infrastructure design.  

- Assess regional water-supply yield, drought probability, and aquifer recharge; translate findings into actionable engineering reports.  

- Present concise technical briefings to public agencies, mining operators, and private developers.  

- Mentor junior analysts in GIS best practices and reproducible data pipelines.  

- Collaborate remotely with cross-disciplinary civil, structural, and environmental teams.  


Qualifications  

- Bachelor’s or higher in Civil Engineering, Hydrology, Water Resources, Environmental Engineering, or related field.  

- 4+ years hands-on experience as a Hydrology Engineer, Hydrologist, or Water Resources Engineer.  

- Proven mastery of HEC-HMS and ArcGIS; familiarity with TR-55/20, SWMM, or GSSHA desirable.  

- Proficient in Python or R for statistical hydrologic analysis, data loggers, and automated QA/QC workflows.  

- Deep understanding of surface-water dynamics, groundwater principles, and climate-driven variability.  

- Strong command of probability, frequency analysis, and stochastic modeling.  

- Exceptional written and verbal communication; able to distill technical results for non-engineers.  

- FE/EIT required; PE license or plan to obtain within 24 months preferred.  

- Eligibility to work in the United States; ability to travel up to 10 % for site reconnaissance.  


Tools & Tech Stack  

- HEC-HMS, HEC-RAS (1D/2D), TR-55/20.  

- ArcGIS Pro, QGIS, GeoHMS, Raster/Vector geoprocessing.  

- Python (Pandas, NumPy, SciPy), R (tidyverse), Jupyter.  

- PostgreSQL/PostGIS, Git version control, cloud-based data storage.  

- NOAA, USGS, and NRCS hydrologic databases.