Water Engineer and LCA Analyst

ERG is a research and consulting firm that provides a wide range of support to federal, state, and commercial clients. The role involves developing water treatment process models, assessing innovative treatment technologies, and employing data science approaches to enhance sustainability in water management systems.

Responsibilities:

• Developing water treatment process models to evaluate the cost and environmental impact of different water treatment strategies
• Assessing innovative water and wastewater treatment technologies for their ability to remove a broad range of emerging contaminants
• Opportunities to use data science approaches to model system-level performance; identify key tradeoffs in design and operation parameters
• Routinely employ systems-level thinking to evaluate and solve complex problems

Requirements:

• Degree in Civil or Environmental Engineering, Environmental Science, or similarly technical program; specific coursework in life cycle assessment a plus
• 3+ years applied professional experience
• Working knowledge of water and wastewater treatment processes; experience with system design or operation a plus
• Demonstrated ability to apply life cycle assessment through work experience, including experience with LCA software (e.g., SimaPro or openLCA)
• Strong computer skills relevant to data manipulation and analysis
• Ability to think creatively and holistically about complex systems
• Passion for and experience in data-driven sustainability analysis
• Familiarity with a wide range of data sources relevant to environmental and policy analysis and the ability to identify and engage experts to conduct research
• Demonstrated ability to communicate research findings in technical report or journal article
• Well-developed problem-solving, systems thinking, quantitative, and critical thinking skills; intellectual curiosity
• Master's degree or higher preferred; may also consider a Bachelor's degree with sufficient professional experience
• P.E. in Environmental Engineering, Civil Engineering, or similar a plus
• Experience with advanced Excel functions and Python is strongly preferred; GIS experience a plus