Lead Data Engineer

Caterpillar Inc.•Peoria, IL

1d•$128,470 - $192,710•Onsite

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Caterpillar’s Earthmoving Division is hiring for Lead Data Engineer - MG/MTP in Peoria, IL. Role Summary Drive data-driven transformation across the Motor Grader and Medium Tractor value chain. This role focuses on sourcing and integrating complex data sets, translating customer and business requirements into scalable analytics solutions, and applying advanced analytics and AI to improve performance, efficiency, and decision-making.

Requirements

Bachelor’s Degree in accredited Engineering
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Problem Solving: Knowledge of approaches, tools, techniques for recognizing and resolving operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
Process Mapping/Flowcharting: Knowledge of the concepts of process mapping; ability to carry out the documentation of current and proposed manufacturing processes to identify and make improvements.
Process Management: Knowledge of business process improvement tools and techniques, along with basic programming concepts and capabilities; ability to understand, monitor, update, control, or enhance existing business or work processes.

Nice To Haves

Hands-on experience applying AI/ML techniques to large datasets to drive efficiency, optimization, or predictive insights
Experience building or leveraging AI agents or automated analytics solutions
Proven success leading data-driven transformation initiatives with measurable business impact
Knowledge of value chain operations and cost reduction methodologies
Demonstrated collaboration across global, cross-functional teams

Responsibilities

Lead large-scale data collection, mining, and processing efforts to develop robust data models and deliver actionable insights
Analyze large, complex datasets to identify trends, inefficiencies, and cost-reduction opportunities across the value chain
Develop data-driven business cases and translate insights into clear, actionable recommendations for stakeholders
Apply advanced analytics, digital tools, and AI/ML models to optimize performance and efficiency
Lead high-impact, data-focused initiatives aligned to global cost reduction and performance improvement goals
Lead and guide team members in executing value chain cost reduction initiatives
Partner cross-functionally to align data strategies, ensure adoption of analytics solutions, and drive measurable outcomes
Champion data governance, data quality, and scalable analytics practices across teams