General Motors is seeking a Staff Data Engineer to lead their vehicle telematics data platform, a cornerstone of their software-defined vehicle strategy. This role combines technical leadership with hands-on engineering, focusing on building scalable systems that process and analyze data from millions of vehicles globally. The position offers an opportunity to impact vehicle safety, security, and product development while working with cutting-edge technologies in cloud computing and big data.
The role requires a seasoned professional with 10+ years of experience in data engineering, capable of architecting and maintaining large-scale systems that handle petabytes of data. You'll work with technologies like Spark, Kafka, and Azure Data Lake Storage, while leading initiatives in data governance, quality, and observability. The position offers a competitive salary range of $165,000 - $253,200, along with comprehensive benefits including healthcare, retirement plans, and unique perks like a company vehicle program.
As a staff engineer, you'll have the opportunity to mentor junior engineers, influence technical direction, and collaborate with data scientists and analysts across the organization. The role is hybrid, based in Austin, TX, requiring on-site presence three times per week. You'll be at the forefront of GM's mission to achieve zero crashes, zero emissions, and zero congestion through data-driven insights and innovation.
The ideal candidate will bring expertise in cloud platforms (preferably Azure), strong leadership skills, and a proven track record of designing efficient data architectures. This high-visibility role offers the chance to work on meaningful projects that directly impact the future of automotive technology while being part of a company that values diversity, inclusion, and work-life balance.