Assistant Water Resources Specialist
Job
East Bay Municipal Utility District
Remote
Full-Time
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Job Description
- Do you want to work for a water agency that is serious about sustainably managing water resources and protecting the environment?
- Are you enthusiastic about how computer models are used to help shape robust policy and management outcomes?
- Do you enjoy learning about and using computer modeling software, running scripts, and writing code?
Duties include:
- Participating in EBMUD workgroups or teams in a collaborative framework to advance EBMUD projects and initiatives.
- Researching and reviewing technical literature regarding new computer models and/or analytical techniques.
- Engaging with peer groups in academia, professional organizations, and water utilities to advance the use of numerical modeling approaches in order to understand water quality issues and to optimize water system operations.
- Preparing memoranda and reports documenting the results of technical analyses, conducting presentations to communicate study findings, and maintaining appropriate data and records supporting the analysis.
- Reviewing environmental documentation and permit applications to identify potential impacts on EBMUD water supply sources and water quality.
- Preparing physically based or statistically based analyses and predictions as appropriate regarding various water supply scenarios.
- Applying, maintaining, improving, and/or developing alternate analytical tools to better predict water supply and water quality in the Mokelumne, Delta and Central Valley.
- Participating in meetings, workshops, and conferences with technical and management representatives of state, federal, and local water agencies, and other stakeholder groups representing Mokelumne, Delta, and Central Valley water interests.
- Academic coursework in numerical methods and computer modeling of hydraulic and hydrological systems.
- Experience with surface water resources systems analysis.
- Experience in a full-cycle process that includes creating, calibrating and/or validating, and applying models, documenting the process and results, training others in the analytical methods applied, and effectively communicating the results.
- Computer programming, data analytics, and data visualization experience. Python experience is preferred.
- Knowledge of California Environmental Quality Act (CEQA) and California water rights issues.
- An understanding of current water resources planning issues including water conservation, water recycling, and climate change.
Any combination of education and experience that has led to the acquisition of the knowledge and abilities indicated previously. Typical means of acquiring the essential knowledge and abilities is a combination of training and experience equivalent to the following: 1.A bachelor's degree from an accredited college or university with a major in engineering, mathematics, statistics, physics, water resources management, or a closely related field.2.Requires two years of experience
- in water resources engineering, analysis or planning that has included significant numerical modeling and computer programming responsibilities OR a minimum of two years of experience
- as a Junior Water Resources Specialist with EBMUD.3.Must possess a valid California driver's license and have a satisfactory driving record.4.Must possess the physical characteristics to perform the critical and important duties of the job. 5.Willingness to work overtime as needed.
- Equivalent combinations of education and experience may be considered.
As the first step in the selection process, responses to the supplemental questions must be submitted online with the regular EBMUD application. Please provide thorough, accurate descriptions of assignments you have personally performed. Should you respond with comments such as "see application" or "see resume" instead of addressing the questions directly, your application may not be considered.
PLEASE NOTE
While we understand applicants may use various tools to support the preparation of their materials, responses that appear to be primarily generated by AI tools, without meaningful personalization or demonstration of the applicant's own qualifications, may result in disqualification from the selection process.Similar remote jobs
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