Water Systems Intelligence Engineer

McKim & Creed, Inc.; Knoxville (TN); On-site; USD 90,000 - 130,000; Full time

Job summary

McKim & Creed, Inc. seeks a Water Systems Intelligence Engineer to bridge engineering, operations and analytics, turning live data into smarter decisions for water and wastewater networks.

This role combines traditional water infrastructure expertise with real-time operational data, digital twins, predictive analytics, and advanced visualization tools to improve performance, reliability, resilience, and decision-making across utility systems.

Qualifications

• Bachelor's degree in civil or environmental engineering or related field.
• 5+ years in water/wastewater engineering, utility operations, hydraulics, or digital water tech.
• Experience with SCADA, GIS, SQL databases and cloud platforms.
• PE license preferred.
• Experience with digital twins and predictive analytics.

Responsibilities

• Integrate real-time data from SCADA, IoT, GIS, CMMS and enterprise systems into engineering workflows.
• Work with intelligent system models to gain insights into hydraulic and process performance.
• Support deployment of smart utility technologies and connected infrastructure.

Skills

SCADA

GIS

SQL databases

Cloud platforms

Analytical skills

Communication skills

PE license

Digital twin platforms

Machine learning

Consulting with utilities

Education

Bachelor's degree in Civil/Environmental/Water Resources Engineering

Tools

InfoWater Pro

InfoWorks WS Pro

InfoWorks ICM

WaterGEMS

SewerGEMS

EPANET

Job description

SUMMARY:

The Water Systems Intelligence Engineer bridges engineering, operations, and analytics to transform water and wastewater systems into data-driven, intelligent assets. This role combines traditional water infrastructure expertise with real-time operational data, digital twins, predictive analytics, and advanced visualization tools to improve performance, reliability, resilience, and decision-making across utility systems. Turning live system data into smarter decisions, optimized operations, and resilient water infrastructure. This role has two primary objectives: 1. Non-Revenue Water (NRW) Project Management, assistance, and Program development. 2. Technical support for Business Development efforts

WHAT YOU'LL NEED:

• Bachelor's degree in civil engineering, Environmental Engineering, Water Resources Engineering, Computer Engineering, Data Science, or related field.5+ years of experience in water/wastewater engineering, utility operations, hydraulic modeling, or digital water technologies.
• Experience working with operational data systems including SCADA, GIS, SQL databases, and cloud platforms.
• Strong analytical and Problem-solving skills.
• Excellent communication and client-facing abilities.
• Professional Engineer (PE) license.
• Experience with digital twin platforms and smart utility programs
• Familiarity with machine learning, predictive modeling, and AI-assisted analytics.
• Experience integrating engineering models with enterprise asset management and operational systems.
• Consulting experience working directly with utility clients

WHAT WILL MAKE YOU STAND OUT:

• The ideal candidate is passionate about leveraging technology and engineering principles to optimize water and wastewater operations, helping clients move from reactive management to proactive and predictive system operation.
• Digital Twin Development
• Water & Wastewater Operation
• System Optimization
• Predictive Modeling
• Client Relationship Management
• Strategic Thinking
• Innovation Leadership
• Experience with hydraulic and/or process modeling software such as:
  • InfoWater Pro
  • InfoWorks WS Pro
  • InfoWorks ICM
  • WaterGEMS
  • SewerGEMS
  • EPANET

DURING YOUR WORK-DAY, YOU WILL:

• Integrate real-time operational data from SCADA, IoT sensors, AMI, GIS, CMMS, and enterprise systems into engineering workflows.
• Work with intelligent system models that provide actionable insights into hydraulic, process, and operational performance.
• Support deployment of smart utility technologies and connected infrastructure solutions.

Data Analytics & Decision Support

• Analyze live and historical system data to identify trends, anomalies, risks, and optimization opportunities.
• Utilize dashboards, visualizations, and performance metrics that enable data-driven operational decisions.
• Apply statistical methods, machine learning, and predictive analytics to forecast system behavior and infrastructure needs.
• Deliver operational intelligence that improves