The Data Engineer role at AWS Worldwide Field Enablement focuses on evolving data infrastructure to provide insights through AI-based solutions. The team aims to optimize existing workflows and create next-generation data solutions using the AWS AI stack. This position involves collaboration with various stakeholders to ensure data quality and accessibility for business intelligence and AI tools. AWS values diverse experiences and encourages candidates from all backgrounds to apply.

• 2+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Bachelor's degree or above in a quantitative/technical field such as computer science, engineering, or statistics
• Knowledge of designing and implementing a data schema including normalization and relational vs dimensional models
• Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
• Experience with ETL tools like Informatica, ODI, SSIS, BODI, or Datastage
• 4+ years of experience analyzing and interpreting data with Redshift, Oracle, or NoSQL
• Knowledge of AWS Infrastructure
• Knowledge of BI analytics, reporting, or visualization tools like Tableau, AWS QuickSight, or Cognos

• Design, build, and optimize logical data models and data pipelines for complex datasets
• Own ongoing data quality and create self-service access to datasets for business intelligence and AI tools
• Improve metadata for better AI results
• Collaborate with Program Managers, Technical Program Managers, and other Data Engineers to design stable and performant data solutions
• Write secure, stable, testable, and maintainable code with minimal defects
• Apply appropriate data design approaches and make judicious trade-offs without over-engineering
• Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure
• Participate actively in code reviews, design discussions, and team planning
• Resolve root causes of complex problems and balance customer requirements with team needs
• Stay current on distributed systems technologies such as MapReduce, MPP architectures, and NoSQL databases

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.