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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.

Basic Qualifications

- 7+ years of data engineering, database engineering, business intelligence or business analytics experience

- Experience with data modeling, warehousing and building ETL pipelines

- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

- Experience building data products incrementally and integrating and managing data sets from multiple sources

- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

- Knowledge of data mining techniques, predictive analytics, and statistical modeling

Preferred Qualifications

- Master's degree

- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.