Caterpillar—Principal Software Engineer - Data Engineering

Job description

Description: Career Area: Technology, Digital and Data Job Description: 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. Build the Digital Backbone of Modern Manufacturing We’re assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform—a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize. This platform is not an ERP system. It’s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle—from design and engineering to production and distribution. This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You’ll be part of a team that’s not just building software—but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions. As part of this initiative, you’ll contribute to: - System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem. - Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence. - Automation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control—without replacing core transactional systems. - Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies. If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies—this is your opportunity to make a meaningful impact. Role Definition Participates in defining functional designs and application systems architecture across various digital platforms. The primary focus of this role will be to lead data architectures for large Digital platform applications Responsibilities • Developing detailed architecture deliverables to solve business problems • Designing an application's technical infrastructure, such as specific databases, programming languages, utilities, and testing approaches. • Leading the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities. • Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver digital solutions that meets business results Top candidates will have: - Strong Understanding of the data platform and build new data solutions on the existing data platform. Impact analysis needs to be performed so as not to have unknown impact in other data solutions build on the platform. - Understanding the current data landscape and build new solutions on top of existing solution. - Demonstrable experience in Trouble shooting and finding solutions for technical and functional issues identified in the program/project. - Evaluate, analyze, document and communicate business requirements to stakeholders. - Run Architecture meetings/discussions and document the solutions on confluence. Complete the solutions and have engineering handover. - Supported the engineering team during the entire cycle of the build and deploy phases. - Owned and develop relationship with partners (customers, dealers, Technical Product Management, Architect teams), working with them to optimize and enhance the data products. - Provided guidance on the technical solutions and guidance on new product like optimal database recommendations like dynamo vs Postgres, AWS options like Kinesis and Event bridge. - Owned the solutions on the Data lake (Snowflake), The solutions should be performant, secure and Cost Optimal. - Owned some of the data domains in the Data Platform i.e. Any solution on the data domain should be either worked upon or reviewed by the architect. - Provided ROM (rough order of magnitude) for the solutions and data products. - Based on understanding of data domains and Business requirements create reusable data products which can be used across applications and teams. - Create/Review HLA and TA documentation with reference to a business requirement. - Improve architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements. - Identified solution for business critical business rules for improving the data quality in the platform. Required Skills: - Expertise on AWS (EMR, Glue, S3, Fargate, SNS, SQS, Kinesis, AWS EventBridge, RDS, DynamoDB) , Snowflake, SQL, Python, ER Modelling. Nice to Have Skills: - Microservices and API knowledge - Working knowledge of NVIDIA Omniverse platform, including USD data models and connector frameworks. - Proven experience designing end-to-end data pipelines integrating IoT, sensor, and machine telemetry data. - Familiarity with digital twin architecture patterns for manufacturing operations, product design, or asset management. Understanding of Industrial IoT ecosystems Posting Dates: September 24, 2026 - October 1, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply Not ready to apply? Join our Talent Community.