Digital Twin Engineers create virtual replicas of physical assets, systems, or processes that update continuously using real-world data. Their work includes system modeling, data integration from sensors, simulation, and analytics to support performance monitoring, predictive maintenance, and optimization. They combine systems engineering, simulation, data engineering, and domain knowledge to ensure digital twins accurately reflect physical behavior. Digital Twin Engineers work in manufacturing, infrastructure, energy, aerospace, healthcare, and smart city projects. Globally, demand is rapidly increasing as organizations adopt digital engineering, Industry 4.0 practices, and data-driven lifecycle management for complex assets and systems.