Amazon is seeking a Senior Data Engineer for their Vulcan team to drive innovation in data infrastructure and ML systems. This role focuses on enabling automation, knowledge extraction, and artificial intelligence through various technologies including Machine Learning, NLP, and Computer Vision. The position offers a unique opportunity to work with large-scale datasets and build infrastructure supporting multiple use cases from text extraction to customer behavior analysis.
As a Sr Data Engineer, you'll collaborate with Software Engineers and Scientists to create robust data infrastructure supporting ML model productionalization. The role requires expertise in designing and managing extremely large datasets, implementing scalable data infrastructure, and maintaining high standards of data quality and accessibility.
The ideal candidate will bring deep expertise in SQL, ETL processes, and data architecture, combined with strong communication skills. You'll work in a fast-paced environment that values autonomy and end-to-end ownership. This is a chance to make a significant impact on Amazon's book industry revolution while working with cutting-edge technologies and complex data challenges.
The compensation package is competitive, ranging from $139,100 to $240,500 based on location, plus equity and comprehensive benefits. The role offers the opportunity to work with a mature team, influence technical strategy, and drive best practices in data engineering. Amazon's inclusive culture and commitment to diversity make this an excellent opportunity for experienced data professionals looking to make a significant impact in a global technology leader.