Energy Engineer: Data-Driven Efficiency & Growth

Tetra Tech, Inc.

Madison (WI)

Ibrido

USD 70.000 - 90.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive salary
Career development
Resource availability
Stability and growth
Hybrid office/remote

Descrizione del lavoro

Tetra Tech, Inc. in Madison, WI seeks an Energy Engineer to support energy conservation and sustainability practices. You will conduct energy calculations for residential to industrial systems and participate in measurement and verification activities as part of project teams.

The role emphasizes data analysis, Excel proficiency, and programming knowledge (Python or R). We offer a hybrid work setup, competitive compensation, and opportunities for career development.

Competenze

  • Bachelor's degree in engineering required; new grads encouraged to apply.
  • Familiarity with energy efficiency codes or equipment efficiency standards is a plus.
  • Experience with energy consumption regression modeling is beneficial.
  • Advanced Excel skills are required.
  • Programming knowledge in Python or R is beneficial.

Mansioni

  • Perform energy consumption calculations for residential, commercial, public, and industrial systems.
  • Plan and support measurement and verification or field investigation activities.
  • Review energy efficiency and renewable energy calculations and assumptions.
  • Report results and recommendations.
  • Analyze data using engineering and statistical software programs.

Conoscenze

Energy engineering
Energy modeling
Data analysis
Advanced Excel
Technical report writing
Python or R

Formazione

Bachelor's degree in engineering

Descrizione del lavoro

Tetra Tech, Inc. in Madison, WI seeks an Energy Engineer to support energy conservation and sustainability practices. You will conduct energy calculations for residential to industrial systems and participate in measurement and verification activities as part of project teams.

The role emphasizes data analysis, Excel proficiency, and programming knowledge (Python or R). We offer a hybrid work setup, competitive compensation, and opportunities for career development.

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