The AWS Compliance & Security Assurance team is responsible for scaling AWS's ability to exceed the security and compliance expectations of our regulators, auditors, and customers globally.
As a Data Engineer, you will design and deliver scalable data products that power AWS Security initiatives. The role offers a unique opportunity to work in a dynamic environment that provides startup-like autonomy — you will own data domains end-to-end, from architecture through productionization and lifecycle management.
The ideal candidate will bring 3+ years of data engineering experience and demonstrate expertise in developing and managing data solutions at scale. You should excel at translating complex data into meaningful insights through cross-functional collaboration with stakeholders, analysts, and fellow engineers. You will be an integral part of a team that values innovation, technical excellence, and the ability to deliver results in a fast-paced environment.
Key job responsibilities
- Design and own scalable data architecture and pipelines using native AWS technologies (e.g., S3, Redshift, Glue, Lambda) to support BI solutions and customer analytics needs at scale.
- Build and deploy high-impact data products that transform complex datasets into actionable intelligence for internal and external customers.
- Collaborate cross-functionally with Business Intelligence Engineers and business stakeholders to gather requirements and translate them into scalable data engineering solutions.
- Partner with Software Engineering teams to distill large, complicated datasets into digestible analytical insights.
- Insist on the highest standards by recognizing and adopting best practices in data engineering (e.g., data lineage, data integrity, data quality, pipeline observability).
- Actively participate in code reviews and design discussions to identify simplification opportunities and propose scalable solutions.
About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the 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.
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 & 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.
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.
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 2+ years experience with AWS technologies such as Redshift, S3, AWS Glue, Lambda, IAM etc.
- Proficiency in at least one scripting or programming language, such as Python, TypeScript.
Preferred Qualifications
- Bachelor's Degree in Computer Science or related field
- Hands-on experience leveraging AI tools and techniques (e.g., generative AI, LLMs, AI-powered development assistants) to accelerate data product delivery, automate data engineering workflows, and enhance code quality and productivity
- Advanced SQL skills with expertise in query performance tuning
- Experience with non-relational databases/data stores (object storage, document or key-value stores, etc.)
- Experience with data pipeline observability, monitoring, and alerting
- Experience mentoring other engineers on best data engineering practices
- Experience managing infrastructure as code (e.g., AWS CDK)
- Strong software engineering fundamentals including CI/CD, testing, source control, and operational excellence
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually