Data Analysis Engineer – Structure Simulation

Caterpillar Inc.•Champaign, IL

11d

About The Position

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. Step into a high-impact engineering role where you’ll tackle complex structural challenges across cutting-edge products, systems, and components. Using advanced simulation, data analytics, and machine learning, you’ll drive innovation, reliability, and performance in real-world applications.

Requirements

Degree in Engineering from an accredited institution.
Experience in Finite Element Analysis (FEA), fatigue and durability modeling, and multibody dynamics.
Proficient in building machine learning models for load estimation and life prediction (scikit-learn).

Responsibilities

Build and deploy machine learning models to estimate loads, strains, and damage/life predictions (scikit-learn).
Create dashboards and visualizations to explore large datasets and identify root causes of structural issues related to application severity (Power BI, Tableau).
Automate data processing and analysis workflows for high-frequency time-series telematics data, with robust version control and development practices (Python, Git, GitHub, Azure DevOps Repos, VS Code).
Managed large-scale SQL databases for storing and retrieving hundreds of millions to billions of rows of summarized data across diverse assets (Snowflake, MySQL, SQLite).
Build high-fidelity simulations and analyses that directly influence product design, performance, and reliability.
Work closely with design, testing, and product support teams to enhance product durability and availability in the field.
Stay ahead of emerging technologies and champion improvements to simulation methodologies and engineering processes.
Delivers high-accuracy results while balancing speed and precision.
Breaks down complex problems into manageable components and identifies discrepancies in data to drive clarity.
Communicates technical insights effectively through presentations and reports.
Provides constructive feedback and actively incorporates input to improve communication and outcomes.
Applies diverse problem-solving techniques to resolve engineering challenges.
Contributes to best practices and lessons learned to elevate team performance.
Supports project planning with cost, schedule, and resource tracking.
Builds and validates simulation models using HyperMesh, NX, and Nastran.
Performs durability and fracture mechanics analysis to support both New Product Introduction (NPI) and Current Product Improvement (CPI).