Watershed Modeler: Hybrid, Impactful Modeling Lead

King County Water and Land Resources Division -WA

Seattle (WA)

On-site

USD 115,000 - 146,000

Full time

3 days ago

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Job summary

King County Water and Land Resources Division -WA seeks a Watershed Modeler (Engineer III) in Seattle to lead modeling projects using the WQBE toolkit and evaluate how water quality and stormwater runoff may change under different future conditions. You will manage projects, collaborate across disciplines, and translate complex results into usable information for decision-makers.

The role combines hydrologic modeling, data analysis, tool development, and technical communication while working

Qualifications

Education or experience equivalent to a Bachelor’s degree in geology, hydrology, environmental science, environmental engineering or closely related discipline.
Five years of experience using lumped parameter (e.g., HSPF, LSPC, SWMM), grid (e.g., VELMA), and/or hybrid versions (e.g., HEC, WMS, WWHM, etc.) of watershed modeling frameworks.
Intermediate level (3 years) experience working independently in ESRI GIS applications (e.g., ArcMap, ArcPro).
Work experience using R, MATLAB, Python, VBA, or other programming language(s) for statistical analyses and processing of data.
Professional project management experience such as developing, monitoring, and controlling project scope, schedule and budget.

Responsibilities

Negotiate, monitor, and control scope, schedule, and costs or level of effort with internal clients of the toolkit.
Serve as project manager for WQBE project including responsibilities such as defining tasks, schedules, level of effort and budget for County staff and scopes of work for project consultant. Review and approve products and invoices from project consultant. Manage client relationships and update project supervisor.
Use County’s existing custom tools to modify existing watershed (LSPC) and optimization models (SUSTAIN) and run new analyses.
Develop new tools (e.g., GIS layers, Storymap) to visualize and interpret modeling results for use in a variety of settings and audiences. Write scripts, code, macros, etc. to process data for model use.
Draft technical memos and/or presentations to explain modelling outcomes and write reports to document data collection, analyses, and outcomes.