Sr. Data Engineer, Amazon PeopleInsights eXperience (APIX)
Amazon - Seattle, Washington, USA
Posted Apr 28, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Mental health support
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Sr. Data Engineer, Amazon PeopleInsights eXperience (APIX) Seattle, Washington, USA Are you passionate about building scalable data infrastructure that powers critical business decisions? Do you thrive on solving complex data architecture challenges while mentoring engineers and driving technical excellence? If so, join the Amazon People Insights & Experience (APIX) team as a Senior Data Engineer! We're transforming Amazon's fragmented people-data ecosystem into a centralized, AI-ready platform through the PXT Data Strategy-a multi-year program consolidating 20 data lakes with 13,000+ data sources into a unified Central Lakehouse serving 440+ data teams. As a Senior Data Engineer, you'll be instrumental in building the data infrastructure that enables self-service analytics, AI-powered insights, and data governance at massive scale. This is a hands-on technical leadership position where you will own team-level data architecture for flagship initiatives including the Central Lakehouse (achieving 100% Golden Dataset discoverability), Amazon Cortex (an intelligent data abstraction platform), and Clarity Metrics Marketplace (CMM)-reducing dataset onboarding time from 5-6 weeks to under 7 days. You'll architect solutions that serve 16,000+ HR professionals, operations leaders, and people managers across Amazon, directly impacting how the company makes data-driven workforce decisions. We're looking for a top data engineer with deep expertise in distributed systems, data lake architectures, and a proven track record of delivering large-scale data solutions. You should excel at technical leadership, strategic thinking, and have genuine passion for building data infrastructure that scales to support hundreds of teams building metrics in parallel while maintaining Amazon's highest privacy and security standards. Key job
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