Amazon is seeking a Senior Data Engineer to join their Vulcan team, focusing on revolutionizing the book industry through data-driven manufacturing optimization. This role combines data engineering expertise with machine learning and automation to support manufacture-on-demand processes. The position offers a unique opportunity to work with large-scale datasets and build greenfield data infrastructure.
As a Sr Data Engineer, you'll collaborate with experienced Software Engineers and Scientists to create robust infrastructure supporting multiple use cases around manufacture-on-demand processes. The role involves working with complex datasets, designing and implementing scalable data solutions, and driving best practices in data engineering.
The ideal candidate will bring deep expertise in large dataset management, ETL processes, and data infrastructure design. Strong SQL skills and excellent communication abilities are essential. The role offers significant autonomy and end-to-end ownership, with opportunities to influence technical strategy and architecture decisions.
This position at Amazon comes with competitive compensation ranging from $139,100 to $240,500 based on location, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. The role is based in San Diego, CA, offering the chance to work with cutting-edge technology while contributing to Amazon's innovative book production systems.
The team values self-starters who are comfortable with ambiguity and can balance big-picture thinking with attention to detail. This is an excellent opportunity for experienced data engineers looking to make a significant impact in a fast-paced, ever-evolving environment while working with state-of-the-art data technologies and methodologies.