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Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • AWS Lambdaunmatched
    • Advertisingunmatched
    • Amazon Web Services (AWS)unmatched
    • Artificial Intelligence (AI)unmatched
    • Business Intelligenceunmatched
    • Business Supportunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Electronic Medical Recordsunmatched
    • Electronic Publishingunmatched
    • Identify Issuesunmatched
    • Product Developmentunmatched
    • Quality Managementunmatched
    • Scalable System Developmentunmatched
    • Security Monitoringunmatched
    • Test Dataunmatched

    Description

    The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon"s advertising-supported publishers (e.g., Prime Video, Twitch, Fire TV, Amazon Stores, Audio). Our mission is to build Earth"s most customer-centric advertising services.

    Driving long-term growth for our ad-supported media services requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). The data foundations that power these decisions - pipelines, models, quality frameworks - are what make trusted insights possible at scale. We"re looking for a Data Engineer to build and operate these foundations across APM"s publisher portfolio, ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data.

    Key job responsibilities

    • Design, build, 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
    • Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
    • Measure and improve data quality across the datasets you own - investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
    • Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
    • Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security
    • Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM

    A day in the life

    You"ll build data products that feed both human analysts and AI-powered analytics agents, leverage LLMs and generative AI tools to accelerate your own development workflows, and help move the team from manual pipeline operations toward automated, self-healing data infrastructure. You"ll work across two tracks: building scalable data infrastructure, and partnering with business teams to understand what decisions they need to make and delivering the data products that enable them. You may lean toward one track more than the other, and that"s great - we"re looking for someone with strong fundamentals who can contribute meaningfully in either direction.

    About the team

    The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    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

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