Digital Water Engineer

Position: Digital Water Engineer I
Your Future Position:
Digital Water Engineer I

Location Options:
Crystal Lake, Chicago, Naperville, Bannockburn, or Mokena, IL

Why Join Baxter & Woodman?

At Baxter & Woodman, professionals of all backgrounds find more than a jobthey build long-term, rewarding careers with a recognized leader in engineering, technology, and innovation. Our collaborative culture and commitment to excellence are reflected in our recognition as a 2025 Zweig Best Firm to Work For.

About the Role Your Impact

Baxter & Woodman has an exciting opportunity for a Digital Water Engineer I within our Water Department. This role merges traditional environmental engineering with cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and smart infrastructure solutions.

The Digital Water Engineer I will support the planning, design, and optimization of water & wastewater systems while assisting in the development and application of digital tools and AI-driven solutions. This position offers a unique opportunity to build both core engineering expertise and digital/AI capabilities, supporting innovation across the firm.

What Your Day-to-Day Will Look Like

* Support the design of water & wastewater infrastructure, including treatment plants, pipelines, and pumping stations.

* Assist with conceptual and preliminary design development using Bluebeam, AutoCAD, and Revit while incorporating digital workflows.

* Prepare and contribute to master planning reports, integrating engineering analysis with data-driven insights.

* Review and evaluate infrastructure improvements with consideration of sustainability, energy efficiency, and system optimization.

Digital & AI Responsibilities:

* Assist in the development and implementation of AI and machine learning models, including computer vision and data-driven applications.

* Utilize machine learning libraries and frameworks to support the development of tools for engineering analysis and decision-making.

* Process and analyze data to train, validate, and evaluate AI models for internal engineering applications.

* Support development of digital tools such as dashboards, visualization platforms, and system models to improve operational insights.

* Contribute to digital engineering initiatives, including asset modeling, data integration, and smart system development.

* Document AI models, workflows, and digital tools for internal use and knowledge sharing.

* Explore and support implementation of AI-enabled processes to enhance quality, efficiency, and innovation across projects.

* Collaborate with the Innovation & Technology Team to develop and test emerging digital solutions.

Collaboration & Communication:

* Participate in client and regulatory agency meetings, supporting both engineering and digital deliverables.

* Communicate and coordinate with multidisciplinary teams, integrating engineering, data, and technology perspectives.

* Work collaboratively with peers and leadership to advance digital practices within the firm.

What You Will Learn

* Application of AI and machine learning in water and wastewater engineering.

* Use of digital delivery tools, including BIM, data platforms, and visualization systems.

* Integration of engineering design with analytics, modeling, and smart infrastructure technologies.

* Fundamentals of digital twins, asset management, and system optimization.

* Exposure to project management, innovation strategy, and client engagement.

Education / Certification Requirements

* Bachelor of Science in Civil Engineering, Environmental Engineering, Computer Science, Data Science, Computer Engineering, or related field (or pursuing completion).

Must-Haves What You Will Bring

* Foundational knowledge or interest in artificial intelligence, machine learning, computer vision, or data analytics.

* Experience or familiarity with programming in Python.

* Familiarity with engineering and design tools such as AutoCAD, Revit, and Bluebeam; exposure to AI/ML frameworks is a plus.

* Ability to work independently on assigned tasks and contribute to broader project goals.

* Strong technical writing, problem-solving, and analytical skills.

* Excellent communication and ability to work…