Are you passionate about building data infrastructure to protect Amazon's customers and data from cyber threats? Join our team and help defend against evolving security risks at massive scale.

Key job responsibilities
As a Data Engineer on the Threat Discovery and Detection (TD2) team within Customer Service Security, you'll play a crucial role in building and maintaining the data infrastructure that powers our advanced threat detection and prevention systems. You'll work at the intersection of big data and cybersecurity, leveraging cutting-edge technologies to identify and mitigate potential risks to Amazon's customer service operations.

You'll be responsible for designing, implementing, and optimizing data pipelines that ingest, process, and analyze vast amounts of security-related data from multiple sources. Your expertise will be essential in developing scalable solutions that enable real-time threat detection, anomaly identification, and predictive risk modeling.

In this role, you'll collaborate closely with security engineers, data scientists, and software engineers to translate complex security requirements into robust data architectures. You'll leverage cutting-edge technologies and AWS services to build systems that embody our "Fortify the Exit, Secure the Entry" security approach.

A day in the life
* Collaborate with data scientists and security engineers to architect data pipelines that support novel threat detection algorithms
* Design and maintain scalable ETL processes to ingest and transform massive volumes of log and event data
* Implement data quality checks and cleansing workflows to ensure the integrity of our detection systems
* Optimize queries and data models to enable rapid threat hunting and anomaly detection
* Present data infrastructure designs to cross-functional partners and incorporate their feedback
* Troubleshoot data flow issues and provide technical support to detection engineers

About the team
The Threat Discovery and Detection (TD2) team is a critical component of the Customer Service Security organization. Our mission is to protect Amazon customer data and ensure operational integrity through advanced techniques and continuous monitoring. We develop innovative solutions that identify internal threats impacting Customer Service and establish a multi-layered defense strategy.

In the coming years, we're focused on enhancing our real-time threat detection capabilities, implementing machine learning-driven anomaly detection, and expanding our data sources to provide more comprehensive security coverage. As a Data Engineer, you'll be at the forefront of these initiatives, helping to shape the future of data-driven security at Amazon.


ABOUT AmSec:

Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why Amazon Security
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.



- Bachelor's degree
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

- Master's degree
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Familiarity with machine learning concepts and their application in anomaly detection

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.