Lead Data Engineer

Caterpillar Caterpillar · Industrial · Peoria, IL

Lead Data Engineer role focused on driving data-driven transformation in the Motor Grader and Medium Tractor value chain. Responsibilities include large-scale data collection, mining, processing, developing data models, analyzing complex datasets, applying advanced analytics and AI/ML, and leading data-focused initiatives. The role also involves guiding team members, partnering cross-functionally, and championing data governance and quality.

What you'd actually do

  1. Lead large-scale data collection, mining, and processing efforts to develop robust data models and deliver actionable insights
  2. Analyze large, complex datasets to identify trends, inefficiencies, and cost-reduction opportunities across the value chain
  3. Develop data-driven business cases and translate insights into clear, actionable recommendations for stakeholders
  4. Apply advanced analytics, digital tools, and AI/ML models to optimize performance and efficiency
  5. Lead high-impact, data-focused initiatives aligned to global cost reduction and performance improvement goals

Skills

Required

  • Bachelor’s Degree in accredited Engineering
  • Analytical Thinking
  • Effective Communications
  • Problem Solving
  • Process Mapping/Flowcharting
  • Process Management

Nice to have

  • 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

What the JD emphasized

  • 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

Other signals

  • applying advanced analytics and AI to improve performance, efficiency, and decision-making
  • Apply advanced analytics, digital tools, and AI/ML models to optimize performance and efficiency
  • 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