Amazon Data Engineer II Healthcare Security 

United States, Texas, Austin 

139077910

Transform Healthcare Security Through Data InnovationImpact You'll Drive: As a Data Engineer, you will design and implement enterprise data architectures that support Amazon's healthcare compliance and security initiatives. You will build cloud-based data solutions and architect data pipelines that transform healthcare and compliance datasets into actionable insights, while building automated solutions for security reporting and compliance monitoring. You will lead technical discussions and mentor team members in data engineering practices.
Key job responsibilities
- Design and implement enterprise data architectures supporting healthcare compliance and security
- Build and maintain cloud-based data pipelines and ETL processes
- Develop automated solutions for security reporting and compliance monitoring
- Create scalable data models and infrastructure as code
- Drive best practices for data engineering, testing, and documentation
- Contribute to technical strategy and architectural decisions
- Ensure data security and compliance standards are met
- Optimize data delivery and system performanceA day in the life
As a Data Engineer in Amazon Healthcare Security, you'll start your day collaborating with cross-functional teams to understand security requirements and translate them into technical solutions. You might begin with a morning standup where you align with Data Scientists and Business Intelligence Engineers on ongoing projects, then dive into designing new data pipelines using infrastructure as code.Throughout your day, you'll leverage your expertise in SQL and distributed systems to build scalable solutions that enhance our healthcare security infrastructure. You could be fine-tuning a data model in the morning, participating in architecture review sessions at midday, and mentoring team members on best practices in the afternoon. You'll regularly engage with Product Managers to ensure our data solutions align with business objectives while maintaining strict security and compliance standards.
Working in our fast-paced environment, you'll balance immediate project needs with long-term strategic initiatives.
Work/Life BalanceTraining 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.

- 3+ 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 SQL