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DESCRIPTION

Are you passionate about sustainability and waste reduction efforts across Amazon’s global organization? Are you interested in driving solutions that balance packaging and automation in a way that increases speed, reduces cost and ultimately delights our customer? The Mechatronics and Sustainable Packaging (MSP) team is looking for a Data Engineer to join our team. This is your opportunity to be a core part of the team that reduces waste for our business and our customers!

In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with business intelligence engineers, software engineers and product managers to develop data solutions that drive innovation and operational excellence.

The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you’re excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you.


Key job responsibilities
Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, reusability, and quality across systems.
Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
Implement secure and compliant data solutions that meet internal and external regulatory requirements
Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.
Mentor junior engineers and contribute to team hiring and onboarding, fostering a culture of technical excellence and continuous learning.