Jobs at Caterpillar

Develop and maintain Python data pipelines to produce business data objects supporting applications. Build and deploy CI/CD pipelines, implement source-to-target mapping as pipeline code, and perform unit and integration testing. Solve complex application problems, interpret design requirements, uphold software quality standards, and mentor team members. Work onsite in Chicago or Peoria, IL.

Leads ITSM Problem Management for digital operations, facilitating root cause analysis, corrective action tracking, known-error management, and Problem Review Board activities. Supports P1/P2 incident reviews, change management, operational data analysis, and service reliability improvements. Also manages operations-center onboarding, readiness tracking, documentation, handoffs, and stakeholder communications across technical, business, and operations teams.

Lead reliability, availability, and performance efforts for eCommerce platforms and infrastructure. Monitor and troubleshoot production and QA systems, support 24/7 incident response, automate deployment and release processes, maintain monitoring dashboards, resolve application performance issues with developers, ensure security and compliance, and continuously improve operational practices.

Design, develop, maintain, troubleshoot, and document scalable data pipelines and infrastructure using AWS, Airflow, Snowflake, Git, and Azure DevOps. Collaborate with analytics engineering teams to support One Funnel and OneSite initiatives and enable data-driven business decisions. Apply SQL and Python to solve business challenges, improve system reliability, implement CI/CD and automated testing, and manage data engineering requirements in an Agile environment.

Lead global adoption and engagement strategies for Caterpillar’s condition monitoring digital products, including Foresight and Inspect. Analyze usage trends and dealer feedback, identify adoption barriers, develop retention initiatives, and execute targeted campaigns and messaging. Partner with product, marketing, regional, and field teams to improve customer journeys, scale best practices, build dealer communities, and generate measurable revenue, feedback, and business outcomes.

Design, administer, and optimize enterprise data platforms (including Snowflake) to support analytics and business operations. Lead data architecture, integrations (SAP, PRISM, cloud), governance, security, and platform reliability. Partner with business and IT teams, manage cloud services (Azure, Kubernetes, Key Vault), DevOps workflows, and Linux/Windows environments while driving continuous improvement and onboarding analytics tools.

Leads the design, development, testing, customization, integration, modernization, and ongoing support of enterprise applications. Resolves technical issues, evaluates software changes, develops programs, integrates purchased and internal systems, and improves support processes. The role involves .NET and JavaScript development, low-code modernization, API integrations, cloud technologies, database work, and collaboration with users and technical teams. The position is onsite five days per week in Mossville, Illinois.

Manages technology project planning and execution across concept, prototype, pilot, implementation, and follow-up stages. Develops schedules, tracks progress, manages changes, leads decision-making, and coordinates project teams. As Product Owner, creates and prioritizes the Product Backlog, communicates priorities, defines product vision, and makes feature decisions while partnering with Scrum and technical product teams.

Develop and deploy Python data pipelines and business data objects. Design software solutions, implement source-to-target mappings, build CI/CD pipelines, resolve complex technical issues, and perform unit and integration testing. The role also promotes software quality, engineering best practices, team improvement, and development of digital data capabilities.

Perform independent software testing and quality assurance for complex applications and infrastructure. Design and execute automated, regression, integration, performance, and user acceptance tests; develop automation frameworks and test code; document and track defects; collaborate with product owners, developers, and end users; and support debugging, continuous integration, delivery, and end-to-end system testing.

Leads a Gen AI engineering team developing intelligent agents, digital assistants, and AI-driven customer experiences. Provides technical direction, manages resources, oversees team performance and development, establishes engineering best practices, and owns product quality. Requires strong software engineering, integration, testing, organizational leadership, program management, and cross-functional project delivery experience in agile, matrixed environments.

Owns experimentation and personalization initiatives across Cat.com using Adobe Target. Responsibilities include managing the testing backlog, coordinating implementation, setting up and validating A/B tests, performing QA, monitoring launches, analyzing experiment and web analytics data, and recommending customer-experience improvements. Partners with product management, UX, analytics, engineering, and business stakeholders to translate insights into testable digital experiences and execute the experimentation roadmap.

Develop and maintain a full-stack simulation platform for autonomous construction robotics. Responsibilities include software development, 3D rendering and manipulation, mapping integration, API and database design, code reviews, requirements collaboration, CI/CD improvement, onboarding, and agile teamwork. The role partners closely with robotics teams and supports simulation, cloud deployment, web automation, and modern frontend and backend technologies.

Leads the vision, strategy, roadmap, backlog, testing, adoption, and lifecycle of digital products supporting enterprise S&OP and dealer order planning. Translates business needs into user stories and technical requirements, coordinates Supply Chain, Sales, Finance, and IT stakeholders, guides Agile teams, improves system reliability and service management, and drives better forecast accuracy, planning efficiency, inventory outcomes, and user adoption.

Lead strategy, roadmap, and delivery for data collection, labeling, quality, and scalable pipeline products that enable AI/ML, analytics, and autonomous systems. Own product backlog, define acceptance criteria, set data quality and governance standards, prioritize data acquisition and annotation, and coordinate cross-functional engineering and data teams to deliver production datasets and platform capabilities.

Owns the product vision, feature decisions, and prioritized backlog for data engineering products while supporting project planning and execution. Partners with Scrum and technical product teams to communicate priorities, manage sprint objectives, oversee schedules and budgets, coordinate project stages, lead change decisions, and ensure successful delivery. The role requires strong product ownership, project management, agile collaboration, and knowledge of data ingestion, connectivity, ontology, annotation, quality, lifecycle, storage, and digital traceability.

Develop and maintain a full-stack simulation platform for autonomous construction robotics. Responsibilities include building simulation and rendering software, manipulating 3D objects, integrating mapping technologies, designing APIs and database schemas, collaborating with robotics teams, conducting code reviews, onboarding teammates, participating in design discussions, and improving CI/CD processes. The role is onsite five days per week in Irving, Texas.

Owns the simulation product vision, backlog, feature prioritization, and delivery across agile software teams. Manages project planning, schedules, budgets, reporting, change control, and decision-making from concept through implementation. Collaborates with Scrum and technical product teams to communicate priorities, support sprint objectives, and coordinate project execution. The role focuses on vehicle, sensor, terrain, scenario, digital twin, and simulation validation capabilities.

Leads development and deployment of generative AI solutions, including assistants, AI processing pipelines, tools, and scalable software services. Builds Python and Go applications using FastAPI and Gen AI frameworks, deploys AWS infrastructure with CloudFormation, and manages GitHub Actions CI/CD pipelines. Develops edge-device services, supports machine learning pipelines with Apache Airflow, and collaborates with data scientists to productionize analytics solutions. The role also requires software architecture, testing, technical writing, and coordination of complex cross-functional projects.

Owns product vision, backlog creation, prioritization, and feature decisions while partnering with Scrum, technical product management, and software engineering teams. Manages project planning, schedules, reporting, change control, decision-making, and execution from concept through implementation. Ensures sprint objectives, project timelines, budgets, and quality targets are achieved. Requires extensive Azure DevOps experience and knowledge of AWS, Run:AI, CI/CD, GitHub Enterprise, security and identity, Confluence, and Power BI.