Data Engineer, Advertising & Marketing Performance Intelligence
Amazon - Toronto, Ontario, CAN
Posted May 10, 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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- Salary
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Schedule
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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, Advertising & Marketing Performance Intelligence Toronto, Ontario, CAN The Advertising & Marketing Performance Intelligence (AMPI) team is seeking passionate and talented senior Data Engineer to join us. The team is on a mission to create cohesive, relevant, and truly helpful marketing experiences for every advertiser through automated processes and intelligence that enable scaled personalization. Key job responsibilities Data Pipeline Development: Build and maintain end-to-end automated data pipelines using AWS technologies, SQL, and various APIs. Deliver solutions that are secure, maintainable, and capable of handling large-scale data processing while ensuring data quality and integrity. Architecture & Design Contribution: Contribute to the design of scalable big data architectures by making sound technical trade-offs within established BAA standards. Identify and flag deficiencies in existing systems and propose improvements in collaboration with senior engineers. Monitoring & Operational Excellence: Build and maintain monitoring systems including automated alarms. Support data access control mechanisms and help ensure compliance with security standards while maintaining data availability and consistency. Performance Optimization: Evaluate and optimize data designs for scalability, latency, and performance within your area of ownership. Identify bottlenecks and implement efficient solutions that improve data exploration and experimentation workflows. Technical Collaboration: Follow and advocate for engineering best practices across the team. Participate in design reviews, contribute to technical discussions, and work closely with cross-functional partners to deliver on shared goals. Business Partnership: Serve as a knowledgeable point of contact for data structure and usage within your domain. Basic Qualifications: - 3+ years of data engineering experience -
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