Join Amazon's Private Brands Discovery team as a Data Engineer and be part of shaping the future of e-commerce. This role offers an exciting opportunity to work with best-in-class inventors and innovators while creating meaningful experiences that impact millions of customers worldwide.
The position combines technical expertise in data engineering with business impact, focusing on helping customers discover and engage with products across Amazon's private brands globally. You'll be working with cutting-edge AWS technologies and building scalable data solutions that power customer experiences.
The role requires strong technical skills in data modeling, ETL pipeline development, and database management. You'll be responsible for designing and implementing secured access to large datasets, maintaining metrics and dashboards, and optimizing query performance. The ideal candidate should have 3+ years of data engineering experience and be comfortable working with both SQL and big data technologies.
What makes this opportunity unique is Amazon's commitment to work-life balance and professional growth. The team values flexibility in working hours and provides strong mentorship opportunities. You'll be part of an inclusive culture that celebrates knowledge sharing and diversity, with access to employee-led affinity groups and ongoing learning experiences.
The compensation package is competitive, ranging from $118,900 to $205,600 based on location, plus additional benefits including medical coverage, 401(k), and potential equity. You'll be working in Seattle, WA, at one of the world's most innovative companies.
This role is perfect for someone who is passionate about data engineering, enjoys solving complex problems at scale, and wants to be part of a team that directly impacts customer experience. You'll have the opportunity to work with the latest technologies while building features that serve billions of customers globally.
The team's culture emphasizes continuous learning, innovation, and personal growth. You'll be encouraged to bring new ideas, experiment with new technologies, and contribute to the evolution of Amazon's data infrastructure. The role offers a unique blend of technical challenges, business impact, and professional development opportunities in a supportive and inclusive environment.