Data Engineer II, IAM and Abuse Prevention at Amazon, responsible for building scalable data pipelines and ML-ready datasets to support security investigations and abuse prevention across the organization. This onsite role is based in Seattle, WA, with a compensation range of USD 132,100 to 178,800 per year.
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 sources across Amazon.
- Develop and optimize data models that enable 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 data solutions, proactively addressing data quality issues.
- Review and modernize existing data infrastructure, proposing architectural improvements to increase reliability, reduce cost, and improve 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 develop solutions that accelerate abuse detection and response.
- Collaborate with data scientists and applied scientists to support AI and AI-agent-centric solutions, ensuring data engineering underpins model training and inference.
- Leverage GenAI and ML tools to enhance workflows, automate pipeline operations, and improve data quality processes.
- Develop a deep understanding of partner teams and their capabilities, identifying opportunities to consume 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 BI analytics using OLAP technologies.
- At least 1 year of data modeling experience in BI contexts.
- At least 1 year of SQL experience in BI analytics.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with AWS technologies including 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 combines long term, high impact projects with near term innovative solutions to curb abuse across Amazon. The group emphasizes action, deep investigation, and simplification while maintaining customer trust. Handling some of the most sensitive data at Amazon, the role requires careful engineering, strict access controls, and a strong sense of responsibility.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet every listed qualification, candidates are encouraged to apply. Nontraditional career paths or alternative experiences should not deter potential applicants.
Why Amazon Security?
Security is central to preserving customer trust and delivering reliable experiences. The Security organization sets and maintains high standards across Amazon’s products and services, offering opportunities to grow across cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
Amazon Security values continuous learning and curiosity. Ongoing DEI events and learning experiences support growth and the appreciation of diverse ideas, perspectives, and voices in addressing security challenges.
Training & Career Growth
Performance standards are raised continuously, with knowledge sharing, training, and development resources to help professionals advance within the organization.
Work/Life Balance
Flexible hours and arrangements support work and home life harmony, reinforcing a culture where teams can achieve success without compromising personal commitments.
