Data Engineer II, IAM and Abuse Prevention

Responsibilities

• Design, implement, and maintain scalable ETL/ELT pipelines to ingest and transform security telemetry, authorization logs, compliance data, and operational metrics from diverse Amazon sources.
• Develop and optimize data models that enable security engineers and scientists to efficiently 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 costs, 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 deliver 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.
• Utilize GenAI and ML tools to improve workflows, automate pipeline operations, and strengthen data quality processes.
• Develop a deep understanding of partner teams and capabilities, identifying opportunities to ingest new signals and provide intelligence data to downstream consumers.

Requirements

• 3+ years of data engineering experience.
• 1+ year of developing and operating large-scale BI data structures for analytics using ETL/ELT processes.
• 1+ year of developing and operating large-scale BI data structures for analytics using OLAP technologies.
• 1+ year of developing and operating large-scale BI data structures for analytics using data modeling.
• 1+ year of developing and operating large-scale BI data structures for 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 work with near term innovative solutions to prevent abuse across Amazon.
• We value Bias for Action, Dive Deep, Invent and Simplify, and Customer Trust in daily work.
• We embrace new approaches, technologies, and innovation while ensuring our solutions are scalable, accurate, and drive action.
• We work with some of the most sensitive data at Amazon, which requires careful engineering, strict access controls, and a strong sense of responsibility.

Diverse Experiences

• Amazon Security welcomes diverse backgrounds. If you do not meet every listed qualification, we encourage you to apply. Nontraditional paths or early career stages should not deter your candidacy.

Why Amazon Security

• Security is central to maintaining customer trust and delivering exceptional experiences. The organization sets a high standard for security across Amazon’s products and services.
• Opportunities to grow across areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture

• A culture of learning and curiosity, with ongoing DEI events and programs to celebrate diverse ideas, perspectives, and voices.

Training & Career Growth

• Continuous performance development with knowledge sharing and career-advancing resources to broaden expertise.

Work/Life Balance

• Flexible work hours and arrangements designed to support work life harmony.