Amazon.com Services LLC offers a competitive salary range of USD 132,100 to 178,800 per year, onsite in Seattle, along with a comprehensive benefits package. In the Data Engineer II, IAM and Abuse Prevention role, you will build scalable data pipelines and ML ready datasets to support security investigations and abuse prevention across Amazon. This position delivers the chance to work with sensitive data, shape reliable data infrastructures, and collaborate across security engineering, science, and investigation teams.
Responsibilities
- Design, implement, and maintain scalable ETL and ELT pipelines that ingest and transform security telemetry, authorization logs, compliance data, and operational metrics from diverse Amazon sources
- Build and optimize data models enabling security engineers and scientists to query and analyze abuse patterns across billions of events
- Create ML ready datasets for data science and applied science teams
- Own monitoring, alerting, and observability for all data pipelines and solutions, proactively addressing data quality issues
- Review and modernize existing data infrastructure, proposing architectural improvements to boost reliability, reduce cost, and enhance performance
- Design and build new data capabilities from the ground up to support product launches and investigation team needs
- Partner with security engineers, scientists, and investigators to understand data requirements and accelerate abuse detection and response
- Collaborate with data scientists and applied scientists to back AI and AI agent centric solutions with solid data engineering for model training and inference
- Leverage GenAI and ML tools to improve workflows, automate pipeline operations, and elevate data quality processes
- Develop a deep understanding of partner teams and their capabilities, identifying opportunities to ingest new signals and provide intelligence data to downstream consumers
Requirements
- 3+ years of data engineering experience
- At least 1 year developing and operating large scale data structures for business intelligence analytics using ETL/ELT processes
- At least 1 year developing and operating large scale data structures for business intelligence analytics using OLAP technologies
- At least 1 year developing and operating large scale data structures for business intelligence analytics using data modeling
- At least 1 year developing and operating large scale data structures for business intelligence analytics using SQL
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Technologies
- Redshift
- S3
- AWS Glue
- EMR
- Kinesis
- FireHose
- Lambda
- IAM
- Hadoop
- Spark
- SQL
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
- Adoption and surrogacy reimbursement coverage
- Flexible Spending Accounts
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
About the Team
The ISAP SafeGuard team blends long term, high impact projects with near term innovative solutions to prevent abuse across Amazon. We prioritize action with deep analysis, and our work is designed to be scalable, accurate, and actionable. This team handles some of Amazon’s most sensitive data, which requires thoughtful engineering, strict access controls, and a strong sense of responsibility.
Diverse Experiences
Amazon Security values diverse experiences. We encourage candidates to apply even if you do not meet every qualification. If your career is just starting, or you followed a nontraditional path, your unique background is welcome here.
Why Amazon Security
Security is central to maintaining customer trust and delivering excellent experiences. Our organization creates and upholds a high standard for security across Amazon’s products and services, offering opportunities to grow across cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
Curiosity and learning are at our core. Ongoing DEI events and learning experiences help us grow while embracing diverse ideas, perspectives, and voices. We value a culture that respects individuality and fosters collaboration to tackle tough security challenges.
Training & Career Growth
We aim to raise the performance bar continually and provide extensive knowledge sharing, training, and career development resources to help you become a well-rounded professional.
Work / Life Balance
We support work life harmony with flexible hours and arrangements. When people feel supported at work and at home, they achieve more together.
