Amazon.com Inc logo

Data Engineer II, AWS Marketplace and Partner Services

Amazon.com Inc
  • Seattle, WA
    2 days ago

    Job Description

    AWS Marketplace and Partner Services (AMPS) is a fast-growing organization that supports Sellers, Partners, Partner Development Managers, and AWS Marketplace customers. The AMPS team is driven by the mission to provide the best partner experience worldwide. Data Engineering is a horizontal layer that supports all foundational data needs for the organization.

    As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science, and Product teams to continuously improve and build our data infrastructure, data models, tools, and data pipelines. Your work will directly influence organizational insights, customer-facing features, and machine learning models.

    To be successful in this role, you should have strong database design skills, comfort with large data sets, and an eagerness to build with GenAI solutions. You should have a passion for data and analytics with the technical skills needed to build for scale and automation.

    Key job responsibilities

    • Design and implement next-generation data pipelines and business intelligence solutions using AWS services such as Redshift, Kinesis, EMR, Glue, and Lambda
    • Build and deliver high-quality data architecture and pipelines to support business analysts, data scientists, and customer reporting needs
    • Interface with other technology teams to extract, transform, and load data from a wide variety of sources, creating coherent logical data models that drive physical design
    • Continually improve reporting and analysis processes, automating self-service support for customers and ensuring data quality across pipelines
    • Participate in code reviews, design discussions, and team planning while mentoring peers on how team data solutions are constructed and operated

    A day in the life

    You will collaborate with Software Engineers, Product Managers, Data Scientists, and Business Intelligence Engineers to design, plan, and deliver high-priority data initiatives serving internal stakeholders and AWS customers. You will build automated, fault-tolerant, and scalable data solutions using technologies such as Spark, EMR, Python, Redshift, Glue, and S3. You will also evaluate and improve our architecture, tooling, and codebase to maximize performance and scalability. As you deliver projects independently and lead efforts end to end, you will take on increasingly complex scope and grow into broader responsibilities across the team.

    About the team

    We are the Data Engineering team in AMPS, powering analytics for the AWS Marketplace Platform. Our data serves external Marketplace sellers and hundreds of internal Finance, Sales, and Partner stakeholders. We are building an enterprise-grade, AI-native Data Platform and a unified Canonical Data Model on Redshift and Data Lake - designing ETL frameworks, migrating billions of rows, and treating data quality and security as first-class concerns. We work across Redshift, Airflow, Glue, S3, and CDK, and we are early adopters of GenAI in our engineering workflow. Come own hard, ambiguous problems end to end.

    AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events build stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

    Diverse Experiences

    AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

    Why AWS?

    Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture

    AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

    Mentorship & Career Growth

    We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

    Work/Life Balance

    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.

    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

    Skills

    • AWS Lambdaunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Automationunmatched
    • Business Analysisunmatched
    • Business Intelligenceunmatched
    • Business Intelligence Softwareunmatched
    • Business Solutionsunmatched
    • Business Supportunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Continuous Improvementunmatched
    • Customer Relationsunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Modeling Toolsunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Database Designunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Electronic Medical Recordsunmatched
    • Financeunmatched
    • Inside Salesunmatched
    • Machine Learningunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Partner Salesunmatched
    • Performance Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Salesunmatched
    • Sales Supportunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • Team Playerunmatched

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