Find your next role

Description

Are you passionate about building data infrastructure that powers security insights and analytics at scale? Do you want to contribute to the modernization of a security data platform that enables measurable improvements in application security across Amazon?

As a Data Engineer on the AppStar DNA team (Data & Analytics Engineering), you will build and maintain data pipelines and infrastructure that support the AppStar organization. You will work across multiple data domains to develop the data infrastructure that powers analytics and reporting.

You should be a builder who is passionate about data engineering and eager to learn. You thrive in solving technical problems, building reliable data pipelines, and contributing to a high-performing team. You bring solid expertise in data modeling, ETL/ELT pipeline design, and distributed data systems, and you're excited to grow your skills in modern data architectures and AWS technologies.

Amazon is continuously innovating new services and features for our customers. Our engineers invent, build, and sometimes break things to make them easier, faster, better, and more cost-effective. However, no matter what we're building—from websites to web services, AR to AI, drones to devices—security is always our top priority. The Amazon Application Security team focuses on working with our builders to provide experiences that our customers can trust. That means constantly learning new things and solving complex problems to protect the safety, security, and privacy of billions of lives on a global scale.

At Amazon, you'll be working with the best minds in technology and security. Learn and be curious here, and accelerate your career growth. You can take pride in knowing that your work is meaningful, having a positive impact on others and making the world a better place.


Key job responsibilities
* Design and implement ETL/ELT pipelines using SQL, Python, and AWS services (Redshift, Glue, S3, Lambda, Step Functions, Athena, Apache Airflow)
* Build and maintain data models, conformed dimensions, and entity models that support downstream consumption
* Contribute to the migration and modernization of legacy security data pipelines to modern lakehouse patterns (Apache Iceberg, Spectrum, Lake Formation)
* Ensure data quality, lineage, and freshness in data pipelines
* Follow data engineering best practices: data modeling standards, naming conventions, data quality frameworks, CI/CD for data pipelines, and operational excellence
* Identify and resolve data pipeline issues—simplify complex data flows, remove bottlenecks, and address technical debt
* Collaborate with senior engineers, business intelligence engineers, data scientists, and security stakeholders to deliver scalable data solutions
* Design, implement, and support platforms providing secured access to large datasets
* Analyze and solve problems at their root, stepping back to understand the broader context
* Learn and understand a broad range of Amazon's security data resources and know when, how, and which to use
* Continually improve data infrastructure and pipelines, automating or simplifying self-service support for datasets
* Participate in design reviews, on-call rotations, and incident response for production data pipelines

About the team
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.

AppStar DNA Team (Data & Analytics Engineering)
The AppStar DNA team supports the AppStar organization, which is responsible for securing applications at Amazon. Our team is committed to building world-class data infrastructure that provides the foundation for analytics solutions, enabling visibility into security performance and driving data-informed decision-making across security teams. We work with massive volumes of security data to deliver the infrastructure that powers insights with immediate influence on how Amazon secures its applications and protects customer trust.

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 flexible work hours and arrangements are part of our 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.