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

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
AWS Lambda, Advertising, Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Best Practices, Business Intelligence, Customer Experience, Data Management, Data Modeling, Data Quality, Data Sets, Data Warehousing, Database Design, Electronic Medical Records, Home Automation, Mentoring, Performance Tuning/Optimization, Problem Solving Skills, Quality Management, Quality Metrics, Query Optimization, Scalable System Development, Security Monitoring, Software Engineering, Team Player
LOCATION
Seattle, WA
POSTED
16 days ago

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

We are the APM Agentic Insights team, building scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization. Our mission is to create Earth"s most customer-centric advertising services by ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data. We work across organizational boundaries with data engineers, business intelligence engineers, scientists, and product teams to solve complex problems at scale. You"ll join a group that values both technical excellence and collaborative problem-solving, where your contributions will directly shape how we serve our customers and partners.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles