Amazon Senior Data Engineer AWS Fintech 

United States, Washington, Seattle 

912301558

As a Senior Data Engineer, you'll design and build high-performance solutions that operate at global scale. Your responsibilities will include developing real-time financial data processing pipelines that handle millions of transactions per second, creating automated reconciliation systems for global reporting, and implementing sophisticated data lakes and warehouses for analytics and compliance. You'll build self-service analytics platforms for finance teams, develop ML-powered anomaly detection systems, and support global tax and accounting platforms essential to AWS's operations.This role offers the opportunity to work at the intersection of cloud computing and financial technology. You'll process financial data at a scale, making direct impact on decisions that drive AWS's growth. Working alongside experienced engineers and financial experts, you'll implement innovative solutions using the latest AWS technologies. You'll contribute to the development of cloud financial systems while collaborating with diverse teams across AWS's global infrastructure.
Key job responsibilities
• Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives
• Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
• Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies
• Establish data engineering best practices, including governance, security standards, and operational excellence
• Mentor team members and provide technical leadership across multiple projects
• Make strategic build-vs-buy decisions and drive consensus on technical solutions
• Ensure data solutions are auditable, accessible, and maintainable across the organization
• Collaborate with cross-functional teams to deliver innovative data solutionsA day in the life
At AWS Fintech, your day combines technical leadership and hands-on development across our global financial systems. Mornings begin with reviewing pi pipeline performance and team standups, followed by collaborating with finance stakeholders on new reporting requirements. You'll lead technical design reviews, optimize complex ETL jobs, and mentor junior engineers throughout the day. Afternoons involve implementing security enhancements and developing ML-powered solutions. Your day concludes with code reviews and ensuring critical data pipelines run efficiently. Working with AWS technologies, you'll make decisions that directly impact AWS's financial operations while collaborating across global teams.

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses