Data Engineer II, Amazon Publisher Monetization, Insights, APM Insights

The Amazon Publisher Monetization (APM) team is shaping the future of monetization across Amazon's ad-supported publishers — Prime Video, Twitch, Fire TV, Amazon Stores, and Audio. Our mission: build Earth's most customer-centric advertising services.

We're looking for a Data Engineer to own and evolve the data foundations across APM's publisher portfolio. You'll drive architectural decisions that ensure every insight delivered to business teams is grounded in reliable, well-modeled data. The pipelines, models, and quality frameworks you build will enable trusted decision-making at scale — balancing customer experience with advertiser value.

Key job responsibilities Design, develop, and optimize data models and end-to-end data pipelines across APM's publisher data, leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools

Drive architectural decisions for data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics agents, balancing short-term delivery with long-term scalability

Define and implement data quality standards across the datasets you own by building automated monitoring, investigating anomalies, and driving root-cause resolution with minimal guidance

Partner with business stakeholders to deeply understand their decision-making needs, translating ambiguous requirements into trusted, well-modeled data products

Lead the design of next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security while influencing team-wide technical direction

Support and mentor other engineers on data engineering best practices, code quality, and system design principles

A day in the life As a Data Engineer on our team, you'll focus on architecting and maintaining the data pipelines and models that support our publisher monetization platform. You might spend your morning collaborating with analytics and business intelligence teams to understand evolving data requirements, then transition into designing schema improvements or optimizing query performance for our data warehouse. You'll work alongside software engineers to integrate new data sources, partner with product teams to validate data quality, and participate in design reviews where you'll help shape how we approach complex data challenges. Your work directly impacts the reliability of insights that business teams depend on to make strategic decisions about advertising inventory and publisher partnerships.

About the team