Data Engineer, AWS Compliance & Security Assurance
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
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.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- 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
- parental leave
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
