8 days ago
Bellevue, WA, USASenior
Base Salary
$155k - $209k/yr
Responsibilities
- Build cloud data infrastructure and internal tools on AWS for Amazon Leo’s Global Business Operations.
- Design data models, data warehouses, and ETL pipelines for business intelligence and machine learning use cases.
- Support business-critical reports and ML models used by Business Intelligence Engineers and scientists.
- Mentor team members on data engineering best practices.
- Help establish the engineering direction of a pre-launch, native data platform.
Requirements
- 5+ years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience with SQL.
- Experience with at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
- Experience mentoring team members on best practices.
- Preferred: experience with Hadoop, Hive, Spark, or EMR.
- Preferred: experience operating large data warehouses.
- Must be a U.S. citizen or national, U.S. permanent resident, lawfully admitted refugee, or person granted asylum due to export control requirements.
Benefits
- Comprehensive medical, dental, vision, prescription, basic life and AD&D insurance, with optional supplemental life plans.
- Employee assistance program, mental health support, and medical advice line.
- Flexible Spending Accounts.
- Adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- The position is based in Bellevue, Washington.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.