Senior Engineer - Data Engineering

Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, ‘job flexibility benefits’ [also known as I-140 or Adjustment of Status portability], etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future. This position is based out of Toyota Motor North America Headquarters in Plano, TX Who we're looking for Toyota's Digital Innovations team in the Supply Chain group is seeking multiple talented Senior Data Engineers to join our development team. This role will focus on implementing and maintaining high-quality data engineering solutions while collaborating with senior team members to deliver value to our customers. Reporting to the Senior Manager, Digital Innovations, the person in this role will support the Supply Chain transformation objectives and help accelerate the adoption of modern and emerging technologies and platforms. You will work as part of a fusion team — engineers, product, and supply chain operators working to a shared goal and a shared backlog, rather than a technology group taking requests from a business group. This is how Digital Innovations operates. Engineers are assigned to fusion teams based on priority and need, and you should expect to move between teams and across different parts of the supply chain as those priorities shift.

Implementing technical solutions that align with architectural decisions and enterprise standards. Designing, developing, and maintaining scalable data pipelines using Python, Databricks, and Apache Airflow / AWS Step Functions. Implementing and optimizing ETL processes to extract, transform, and load data from enterprise sources into product datastores. Working with Business Product Owners to refine requirements and acceptance criteria. Applying data quality and validation techniques to ensure accuracy and reliability of datasets. Troubleshooting and resolving data-related issues to ensure smooth project execution. Collaborating with cross-functional teams to integrate data engineering solutions into the product framework. Ensuring non-functional requirements — security, performance, scalability, and system integrations — are met through effective design and development. Using AI as an assistant across your daily work — pipeline development, code review, testing, debugging, and documentation — to deliver better outcomes faster, while holding quality and review standards. Prototyping and experimenting to answer open questions quickly: build the smallest thing that tests the idea, measure what it shows, and share what you learned — including when it does not work. Spending time with the planners, logistics, and operations teams who use what you build, so solutions reflect how the work actually happens. Bringing new tools, techniques, and emerging technology into the team's day-to-day practice, and helping teammates adopt what proves out. What you bring Strong technical expertise in data architecture and data integrations, with 5+ years of hands-on experience with modern technologies. 5+ years of proven expertise creating end-to-end data engineering pipelines handling large data volumes to support data science and business