Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• 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

$130K-$176K not verified - source not recorded; timestamp not recorded

401(k) match

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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

37% 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.

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

Sr. Business Intelligence Engineer, AWS Compliance & Security Assurance Seattle, Washington, USA The AWS Security Assurance Engineering (SAE) team's mission is to build and enhance mechanisms which continuously demonstrate that AWS meets and exceeds the high security and compliance bar expected by our customers, regulators, and auditors. We achieve this by proactively engaging service and control owners to identify, monitor, and drive remediation of risks across AWS. Our team builds tools and services that scale these capabilities globally - creating efficiencies for our teams while maintaining transparency for our customers. We are seeking a Sr Business Intelligence Engineer for our Data Engineering and Analytics team to drive high-impact analytics solutions that support the organizational 10x growth strategy. In this role, you will design and deploy scalable data products and measurement frameworks that enable cross-functional stakeholders to make fast, data-driven decisions at scale. This role requires both strategic vision and hands-on technical execution - distilling complex data insights into actionable strategies and communicating them effectively to both technical and non-technical audiences. The ideal candidate is a self-starter who thrives with autonomy and ambiguity - someone who challenges conventional approaches to analytics and proactively seeks to deeply understand the business to advance its objectives. If you thrive in a dynamic environment that offers startup-like autonomy with enterprise impact, we want to hear from you. Key job responsibilities * Partner cross-functionally to gather requirements and deliver end-to-end analytics solutions - translating ambiguous business questions into structured analytical approaches, data models, and scalable self-service

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