Senior Data Engineer

Job Description This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days]. The Role We are looking for a hands-on Senior Data Engineer to help build the data products that power Customer Care and Aftersales analytics, AI, and operational decision-making. Behind every warranty claim, repair order, service event, and customer interaction is an opportunity to improve quality, reduce costs, increase customer satisfaction, and make vehicle ownership better. The challenge is not collecting the data. It is turning large, complex operational datasets into trusted, reusable assets that teams can use to answer important business questions quickly and confidently. If you enjoy building scalable data solutions that make answers possible to questions like the ones below, this role is for you. Which repair orders are keeping customer vehicles on dealer lots the longest? What parts shortages are creating the greatest service delays? Which warranty concerns are increasing across vehicle programs? Where are repeat repairs occurring most frequently? What trends are emerging across customer care and service operations? What You’ll Do Build and support data products that power analytics, AI, reporting, and operational decisio [... source excerpt omitted ...] in experts to operationalize SQL and Python solutions in a governed, scalable manner Partner with business stakeholders, analysts, architects, and engineers to transform business requirements into trusted data products Mentor engineers and contribute to engineering standards and best practices Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field 5+ years of experience in data engineering, software engineering, or related disciplines Expert-level SQL skills with extensive experience building, optimizing, and troubleshooting complex analytical workloads Strong software eng [... source excerpt omitted ...] operational excellence Strong communication skills and the ability to work closely with business and technical stakeholders What Can Give You a Competitive Advantage (Preferred Qualifications) The ideal candidate is a builder. They care about more than moving data from one place to another. They care about creating trusted, scalable data products that people actually use. They are equally comfortable writing complex SQL, building production-grade data pipelines, optimizing distributed workloads, and helping business users turn ideas into governed, reusable capabilities. Most importantly, they know how to balance speed, scalability, reliability, and cost as data products grow, an