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Sr Data Engineer

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer
  • Engineering
    Data Engineer
Job Description & How to Apply Below

Job  |  Services LLC

Senior Data Engineer

Come build the future as a Senior Data Engineer at Amazon, where you will be inspired working along best-in-class inventors and innovators! You will have the opportunity to create meaningful experiences that deliver on the ever-evolving needs of our customers, and your work will impact millions of people around the world.

As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will find that there is an unlimited number of opportunities within Amazon, where developing your career across a wide range of teams is highly supported. We are committed to making your work experience as enjoyable as the experiences you’ll be creating for our customers.

Apply now and you will be eligible for Amazon Senior Data Engineer positions that are based on your preferred location, team, and more. We’re hiring across Amazon Stores in the United States and Canada.

Teams with available positions include, but are not limited to:
  • Consumer Technology: Build new generation features and products for , constantly improving the Customer and Seller experience for billions around the globe.
  • Operations Technology: Shape the future of transportation planning and execution on a global scale, that impacts hundreds of fulfillment centers, thousands of Amazonians, and millions of customers across the world.
  • Human Resources Technology: Create a seamless experience for millions of Amazonians and/or candidates.
  • About Us:

    Work/Life Balance: Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life.

    Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

    Inclusive Team Culture: Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion.

    Key job responsibilities
  • Set the technical strategy for the team
  • Lead complex technical initiatives within the team
  • Explore technical needs and bring solutions to the table
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Assist in developing project plans and commitments, and then deliver consistently against those commitments.
  • Build good working relationships within the team by communicating clearly both verbally and in writing
  • Continuously optimize solutions to improve overall Platform performance, availability and fault tolerance
  • Drive Operational excellence through metrics driven approach
  • Understand customer pain points, build solutions to make large and/or complex data more accessible, understandable and usable by applications and teams
  • Mentor and lead developers by cultivating curiosity, deep technical understanding through collaboration, code reviews, and leading by example.
  • BASIC QUALIFICATIONS
    • Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field.
    • 7+ years of data engineering experience
    • Experience with data modeling, warehousing and building ETL pipelines
    • Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements
    • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
    • Experience mentoring team members on best practices
    • Experience with data manipulation and visualization tools such as Tableau, Power BI, etc
    • Strong knowledge in data warehousing concepts and data platforms and architecture
    PREFERRED QUALIFICATIONS
    • Experience with big data technologies such as:
      Hadoop, Hive, Spark, EMR
    • Experience operating large data warehouses
    • Experience providing technical leadership on high-impact cross-functional technical projects

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin,…

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