Data Engineer, Threat Discovery and Detection (TD2), Customer Service Security

Global technology company focused on e-commerce, cloud computing, digital streaming, and artificial intelligence.
$118,900 - $205,600
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Cybersecurity · Enterprise SaaS

Description For Data Engineer, Threat Discovery and Detection (TD2), Customer Service Security

Join Amazon's Threat Discovery and Detection (TD2) team as a Data Engineer within Customer Service Security, where you'll be at the forefront of protecting Amazon's customers and data from cyber threats. This role combines big data expertise with cybersecurity, offering an opportunity to work with cutting-edge technologies and AWS services.

As a key member of the TD2 team, you'll be responsible for building and maintaining critical data infrastructure that powers advanced threat detection and prevention systems. You'll work with massive datasets, designing and implementing scalable ETL pipelines that process security-related data from multiple sources. The role involves close collaboration with security engineers, data scientists, and software engineers to develop robust data architectures that support real-time threat detection and anomaly identification.

The position offers competitive compensation ranging from $118,900 to $205,600 per year, depending on location and experience. Amazon provides a comprehensive benefits package including medical, financial, and other benefits. The company values work-life harmony and maintains a flexible working culture that supports both professional and personal growth.

You'll be joining a diverse and inclusive team that values continuous learning and innovation. The TD2 team is focused on enhancing real-time threat detection capabilities, implementing machine learning-driven anomaly detection, and expanding data sources for comprehensive security coverage. This is an excellent opportunity for experienced data engineers who want to make a significant impact on customer data protection at a global scale.

The ideal candidate should have 5+ years of data engineering experience, strong knowledge of AWS technologies, and expertise in data modeling and ETL processes. You'll be working in Seattle, WA, contributing to Amazon's mission of maintaining customer trust through robust security measures. The role offers extensive opportunities for career growth, ongoing training, and the chance to work with some of the most advanced technologies in the industry.

Amazon Security values diverse experiences and perspectives, encouraging applications from candidates with both traditional and non-traditional backgrounds. The organization is committed to creating an inclusive environment where professionals can thrive while addressing some of the most challenging security problems at scale.

Last updated 16 days ago

Responsibilities For Data Engineer, Threat Discovery and Detection (TD2), Customer Service Security

  • Design, implement, and optimize data pipelines for security-related data
  • Collaborate with data scientists and security engineers on threat detection algorithms
  • Maintain scalable ETL processes for log and event data
  • Implement data quality checks and cleansing workflows
  • Optimize queries and data models for threat hunting and anomaly detection
  • Present data infrastructure designs to cross-functional partners
  • Troubleshoot data flow issues and provide technical support

Requirements For Data Engineer, Threat Discovery and Detection (TD2), Customer Service Security

Python
Kafka
  • Bachelor's degree
  • 5+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience manipulating, processing, and extracting value from large datasets
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles

Benefits For Data Engineer, Threat Discovery and Detection (TD2), Customer Service Security

Medical Insurance
401k
  • Medical, financial, and other benefits
  • Work-life harmony and flexible working culture
  • Career development and training opportunities
  • Inclusive team culture
  • Ongoing DEI events and learning experiences

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