Join Amazon's Pricing & Promotions Science, Data and Insights team as a Big Data Engineer, where you'll be at the forefront of developing next-generation data infrastructure. This role offers the opportunity to impact Amazon's worldwide revenue through sophisticated data systems.
You'll be responsible for designing and implementing highly scalable, fault-tolerant data processing systems using cutting-edge AWS technologies including Redshift, S3, Glue, EMR, Kinesis, and Lambda. The position requires expertise in languages like Python, Scala, or Java to create custom data processing frameworks and automation tools.
The role involves close collaboration with data scientists, analysts, and product managers to translate business requirements into technical solutions. You'll be optimizing data pipeline performance, ensuring reliability, and maintaining cost-efficiency using modern CI/CD practices and infrastructure-as-code principles.
As a senior member of the team, you'll mentor junior engineers and share data engineering best practices while staying current with the latest big data technologies. Your work will directly contribute to Amazon's pricing and promotions systems, facilitating data-driven decision-making at scale.
The team focuses on accelerating Customer, Seller, and overall Amazon success through automated intelligent pricing and promotions science systems. You'll be part of an organization that thinks holistically about the entire customer journey, from sourcing to customer experience.
This position offers a competitive salary range of $103,300 to $172,600 per year, plus additional benefits and compensation including equity and sign-on payments. The role is based in Vancouver, Canada, where you'll work with a talented team of engineers and data scientists in Amazon's growing technical hub.
If you're passionate about big data, enjoy solving complex technical challenges, and want to make a significant impact on one of the world's largest e-commerce platforms, this role offers an excellent opportunity to advance your career in data engineering while working on systems that directly influence Amazon's global business operations.