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Data Engineer Internship - 2027 (US)

Amazon.com Inc
  • Seattle, WA
    1 day ago

    Job Description

    Shape what comes next | Discover careers in Tech

    At Amazon, our tech isn"t just a tool, it"s your playground. Our engineers work on scalable systems, cloud services, and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether you"re creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers around the globe, your work reaches the world, fast. You"ll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There"s no single path forward here, with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and, where the impact of what you build helps define what comes next, for customers and for you.

    What"s in it for you?

    An internship at Amazon means real responsibility from day one. You"ll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

    Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

    By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States.

    You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

    Start dates for our internships in this posting include the following periods:

    1. Winter (Starts January/February 2027)

    2. Summer (Starts May/June 2027)

    3. Fall (Starts August/September 2027)

    Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?

    If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry's brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.

    Key job responsibilities

    As a Data Engineer intern, you will/may:

    • Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
    • Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
    • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
    • Monitor and troubleshoot operational or data issues in the data pipelines.
    • Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
    • Develop code based automated data pipelines able to process millions of data points.
    • Improve database and data warehouse performance by tuning inefficient queries.
    • Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
    • Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.

    A day in the life

    Our internship program provides hands-on learning and building experiences for students who are interested in a career in data engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.

    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

    • Analysis Skillsunmatched
    • Architectural Servicesunmatched
    • Big Dataunmatched
    • Business Analysisunmatched
    • Cloud Computingunmatched
    • Customer Relationsunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Scienceunmatched
    • Data Storageunmatched
    • Data Warehousingunmatched
    • Database Designunmatched
    • Database Technologyunmatched
    • Distributed Computingunmatched
    • Identify Issuesunmatched
    • Leading Edge Technologyunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • NoSQLunmatched
    • Performance Tuning/Optimizationunmatched
    • Product Developmentunmatched
    • Reporting Dashboardsunmatched
    • SQL Databasesunmatched
    • Systems Engineeringunmatched
    • Systems Scalabilityunmatched
    • Testingunmatched

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