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Data Engineer I, SPIA
Amazon
On-sitemidPosted June 2, 2026
About the Role
Design and implement scalable data infrastructure, build automation for data management, ensure data quality and compliance, and collaborate with other tech teams for data integration.
Requirements
Requires strong data engineering skills to design, implement, and manage scalable data infrastructure, build automation, and ensure data availability and compliance for Amazon's case management system.
Full Job Description
Join Amazon’s Selling Partner Insights and Analytics (SPIA) organization as a Data Engineer, where you'll build the data infrastructure powering 200+ business teams across Amazon Stores. Shape the future of data engineering for a platform processing millions of cases daily, driving insights that directly impact customer experience and operational excellence across the world's largest e-commerce ecosystem.
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders.
Key job responsibilities
1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.
2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform
5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies
6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
8. Enjoy working closely with your peers in a group of very smart and talented engineers.
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders.
Key job responsibilities
1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.
2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform
5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies
6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
8. Enjoy working closely with your peers in a group of very smart and talented engineers.