Data Engineer II, FO Data Engineering (SCDE)
Amazon - Vancouver, British Columbia, CAN
Posted Mar 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer II, FO Data Engineering (SCDE) Vancouver, British Columbia, CAN Have you ever wondered how Amazon shipped your order so fast? Wondered where it came from or how much it cost us? To help describe some of our challenges, we created a short video about Supply Chain Optimization at Amazon - http://bit.ly/amazon-scot We are seeking a Data Engineer to join our team. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. Your work will have an immediate influence on day-to-day decision making at Amazon.com. As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We maintain one of the largest data marts in Amazon as well as work on Business Intelligence reporting and dashboarding solutions that are used by thousands of users world-wide. Our team is responsible for timely delivery of mission critical analytical reports and metrics that are viewed at the highest levels in the organization. - You should have deep expertise in the design, creation, management and business use of extremely large datasets. - You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. - You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. - You
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