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Data Engineer II, Intelligence & Industrialization

Amazon.com Inc

  • Bellevue, WA
  • 11 days ago
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    Skills

    • Alliance/Partner Managementunmatched
    • Alliance/Partner Marketingunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Automationunmatched
    • Brokerageunmatched
    • Business Intelligenceunmatched
    • Code Reviewsunmatched
    • Cost Controlunmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Visualizationunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Database Optimizationunmatched
    • Electronic Medical Recordsunmatched
    • Governmentunmatched
    • High Availabilityunmatched
    • Information/Data Security (InfoSec)unmatched
    • International Operationsunmatched
    • Logisticsunmatched
    • Logistics Processesunmatched
    • Machine Learningunmatched
    • Metricsunmatched
    • Performance Tuning/Optimizationunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Purchasing/Procurementunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Managementunmatched
    • Query Optimizationunmatched
    • SQL (Structured Query Language)unmatched
    • Salesunmatched
    • Scalable System Developmentunmatched
    • Service Deliveryunmatched
    • Software Administrationunmatched
    • Software Engineeringunmatched
    • Strategic Planningunmatched
    • Supply Chainunmatched
    • Supply Chain Optimizationunmatched
    • Time Managementunmatched

    Description

    Are you passionate about building data infrastructure that operates at massive scale? Do you want your work to directly lower costs for hundreds of millions of customers worldwide?

    As a Data Engineer II on the Intelligence & Industrialization (I&I) team, you"ll own the design and delivery of scalable data solutions that power Amazon"s global transportation procurement and international customs operations. Your pipelines will process terabytes of logistics data daily, enabling teams to optimize billions in supply chain spend and accelerate cross-border delivery-directly fueling Amazon"s flywheel of lower costs, lower prices, and better customer experience.

    You"ll work with AWS technologies to architect end-to-end ETL solutions, build robust data warehousing infrastructure, and deliver automated, self-service analytics capabilities. You"ll collaborate with Business Intelligence Engineers, Data Scientists, and Software Engineers while maintaining full ownership of your technical domain. This is a high-impact role where you"ll see the results of your engineering in real-time operational decisions that shape how Amazon moves products around the globe

    Key job responsibilities

    • Design, build, and own scalable data infrastructure on AWS (Redshift, S3, Glue, EMR) that delivers reliable access to large-scale transportation and customs datasets for cross-functional stakeholders
    • Architect and implement end-to-end ETL pipelines that ingest, transform, and load data from diverse sources, ensuring timely delivery of critical business metrics with a focus on automation, efficiency, and fault tolerance
    • Drive database performance optimization through workload management, query tuning, and monitoring strategies that maintain high availability and fast response times for analytical workloads
    • Enable data-driven decision-making by partnering with BI Engineers and Data Scientists to deliver self-service analytics, data visualization, and machine learning solutions that reduce time-to-insight
    • Establish and maintain data quality frameworks, data catalogs, and governance processes that protect data integrity and empower business users to discover and trust the data they rely on

    A day in the life

    You"ll start mornings checking pipeline health and resolving data delivery issues. Deep-focus time is spent building new ETL pipelines, optimizing Redshift queries, or designing data models. Afternoons shift to collaborating with BI Engineers on visualization requirements, supporting Data Scientists with feature engineering, or translating business questions from transportation procurement stakeholders into technical solutions. You"ll balance hands-on Python and SQL coding with design reviews and knowledge sharing-ensuring teams across Amazon"s global supply chain have the reliable, timely data they need.

    About the team

    GSCTP is an organization under worldwide operations that develops and maintains strategic relationships with third party (3P) supply chain and transportation service providers. The team's mission is to secure capacity from third-party providers, increase cost efficiencies of the business, expand supplier capabilities, and improve the overall quality of our products and services.

    ACT is an expanding business unit under worldwide operations for Customs Brokerage operations. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers, compliance, and government authorities to facilitate clearance of goods for cross-border transportation.

    Numbers & Facts

    LocationBellevue, 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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