AI-Driven BI Engineer for AWS Security & Compliance

Socket.dev; Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon Security is seeking a Business Intelligence Engineer on the Data Engineering and Analytics team to build analytics solutions that inform security decisions at scale. You will own metrics and measurement frameworks, design automated pipelines, and apply AI-assisted analytics to surface actionable insights for leadership.

This role offers startup-like autonomy with enterprise impact, challenging conventional analytics approaches and shaping how security leaders inspect and operate AWS.

Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
• 3+ years 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

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.

Skills

SQL & ETL

Data Visualization

Data Modeling

Automation Scripting

Stakeholder Collaboration

Big Data Analytics

Education

Bachelor’s Degree in Data Science or Statistics

Tools

S3

AWS Glue

Lambda

IAM

SageMaker

Bedrock

Step Functions

Job description

Amazon Security is seeking a Business Intelligence Engineer on the Data Engineering and Analytics team to build analytics solutions that inform security decisions at scale. You will own metrics and measurement frameworks, design automated pipelines, and apply AI-assisted analytics to surface actionable insights for leadership.

This role offers startup-like autonomy with enterprise impact, challenging conventional analytics approaches and shaping how security leaders inspect and operate AWS.