Sr. Data Engineer, Amazon PeopleInsights eXperience (APIX)
Amazon - Seattle, Washington, USA
Posted Apr 28, 2026
Benefits
- Parental leave
- 20 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $155K-$209K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
62% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
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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