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Business Intelligence Engineer, AWS Compliance & Security Assurance

Amazon


Job Location:

Seattle, OR - USA

Yearly Salary: USD 99500 - 160000
Posted: 29 September 2026 (2 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

The AWS Security Assurance Engineering (SAE) teams 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.

As a Business Intelligence Engineer on the Data Engineering and Analytics team you will build analytics solutions that directly impact decision-making across AWS Security. Youll own the development of essential metrics and measurement frameworks design automated pipelines that handle data analysis at scale and apply modern analytics techniques including AI-assisted tooling and predictive capabilities to surface insights that were previously out of reach. Were looking for someone who transforms complex data into clear actionable intelligence and communicates it effectively to stakeholders at every level.

This role offers startup-like autonomy with enterprise impact: youll challenge conventional approaches to analytics explore emerging AI-driven methods to accelerate insight delivery and build solutions that directly shape how security leaders inspect and operate their business. If youre passionate about pushing the boundaries of what data and intelligent automation can do for security we want to hear from you.



Key job responsibilities
* Partner with business stakeholders to gather requirements translate them into analytics solutions and deliver actionable recommendations that inform decisions.
* Design develop and deploy production-grade data products datasets pipelines dashboards and measurement frameworks with mandatory code reviews data quality checks anomaly detection and monitoring to ensure reliability and reusability at scale.
* Apply AI-assisted techniques (e.g. intelligent anomaly detection predictive analytics natural-language interfaces) to deliver solutions that go beyond conventional BI approaches.
* Proactively identify business improvement opportunities through exploratory analysis and present evidence-based recommendations to leadership.
* Collaborate with SDEs BIEs Data Engineers and Data Scientists to transform large complex datasets into structured analytics-ready assets that drive business outcomes.
* Simplify and modernize existing BI solutions to ensure they scale as business needs evolve.
* Contribute to team-wide analytics best practices sharing methodologies reviewing peers work and raising the bar on tooling and standards.

About the team
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why Amazon Security
At Amazon security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazons products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud devices retail entertainment healthcare operations and physical stores.

Inclusive Team Culture
In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.

Training & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

- 3 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- 3 years of using SQL ETL (Extract Transform Load) or Oracle experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with data modeling warehousing and building ETL pipelines
- Experience scripting for automation (e.g. Python Perl Ruby)
- Experience working directly with business stakeholders to translate between data and business needs

- 7 years of business intelligence and analytics experience
- Experience developing deploying and managing AI products at scale
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Bachelors Degree in Data Science Statistics or related field.
- Experience with AWS technologies such as S3 AWS Glue Lambda IAM Bedrock SageMaker Step Functions

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 99500.00 - 160000.00 USD annually


Required Experience:

IC


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