Senior Computational Water Resources Engineer

Schnabel, Inc.; Jersey City (NJ); On-site; USD 125,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Flexible spending accounts

Employee life & ADD insurance (100%公司付

Short-term disability (100% company‑pa

Long-term disability

Supplemental life insurance

401(k) and profit-sharing plan

Employee stock ownership plan (ESOP)

Bonus program

Paid time off

9 Paid Holidays

Wellness program

Professional development and tuitionRe

Job summary

Schnabel, Inc. in Jersey City, NJ is seeking a Computational Water Resources Engineer to expand our Northeast and U.S. water resources practice. You will apply advanced modeling, data analytics, and software development to dam, reservoir, river system, and climate risk projects.

The role emphasizes multidisciplinary collaboration, innovative computational workflows, and ownership in an employee-owned firm. Experience in hydrology, hydraulics, and programming is essential.

Qualifications

• Bachelor’s degree in Civil Engineering, Water Resources Engineering, Environmental Engineering, Hydrology, Computational Science, or a related field. Master’s degree preferred.
• Professional Engineer (PE) license preferred.
• 5+ years of relevant experience in water resources engineering, hydrologic and hydraulic modeling, and computational water resources.
• Strong understanding of hydrologic and hydraulic modeling principles with experience developing, calibrating, validating, and applying numerical models.
• Proficiency with industry-standard tools such as HEC-HMS, HEC-RAS 1D/2D, HEC-SSP, RMC-BestFit, RMC-RFA, LifeSim, and ArcGIS Pro, or comparable platforms.
• Strong proficiency in Python for engineering analyses, data processing, model automation, visualization; experience with JavaScript, C#, and C++ is a plus.
• Experience with HEC-RAS automation tools and GIS automation scripting.
• Proficiency with SQL, Pandas, Excel/VBA, Power BI, or related technologies.
• Familiarity with software development practices including Git, documentation, testing, and code review.
• Experience integrating engineering software through APIs and scripting interfaces.

Responsibilities

• Develop, calibrate, validate, and apply hydrologic and hydraulic models for flood hazard and climate risk assessments and water resources projects.
• Develop river and reservoir system models to evaluate operations, flood management, water supply, hydropower, and scenarios.
• Create forecasting and decision-support tools by integrating observed/forecast hydrometeorological data with models.
• Lead complex studies, analyses, and design calculations with technical reporting.
• Develop, maintain, and enhance automated workflows to improve efficiency and quality of analyses.
• Design data processing, model integration, and post-processing solutions for large-scale analyses.
• Apply data analytics, statistics, optimization, and AI where relevant to enhance modeling and decision-making.
• Develop visualization and decision-support tools for engineers, clients, and stakeholders.
• Provide training and mentoring on computational tools and data management practices.
• Support project management tasks including budgeting, invoicing, and backlog reporting.
• Contribute to Schnabel’s reputation through technical innovation, papers, partnerships, and conference presentations.
• Contribute to business development, proposals, and staff mentoring.
• Domestic and international travel as necessary.

Skills

Time management

Analytical skills

Interpersonal skills

Independent work

Education

Bachelor’s degree in Civil/Water Resources/Environmental Engineering or related field

Master’s degree preferred

Professional Engineer (PE) license preferred

Tools

HEC-HMS

HEC-RAS 1D/2D

HEC-SSP

RMC-BestFit

RMC-RFA

LifeSim

ArcGIS Pro

Python

JavaScript

C#

C++

Job description

Schnabel, Inc. in Jersey City, NJ is seeking a Computational Water Resources Engineer to expand our Northeast and U.S. water resources practice. You will apply advanced modeling, data analytics, and software development to dam, reservoir, river system, and climate risk projects.

The role emphasizes multidisciplinary collaboration, innovative computational workflows, and ownership in an employee-owned firm. Experience in hydrology, hydraulics, and programming is essential.