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Data Engineer, P2 Science, Data, and Insights

Global technology and e-commerce company that operates the world's largest online marketplace and cloud computing platform.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer, P2 Science, Data, and Insights

Join Amazon's Pricing & Promotions Science, Data and Insights team as a Data Engineer, where you'll be at the forefront of building next-generation data platforms and ML feature stores. This role offers the opportunity to architect and develop scalable solutions that directly impact millions of customers and billions in revenue. You'll work with cutting-edge AWS technologies including Redshift, S3, Glue, EMR, Kinesis, and Lambda, while leveraging your expertise in Python, Scala, or other modern programming languages.

The team is focused on accelerating Customer, Seller, and overall Amazon success through automated intelligent pricing and promotions systems. You'll be part of an organization that facilitates data-driven decision making at scale, considering both long-term and short-term impacts across the entire customer journey.

As a Data Engineer, you'll collaborate with cross-functional teams, optimize data pipeline performance, and contribute to building robust data processing frameworks. The role offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits. This is an excellent opportunity for someone passionate about big data, scalable systems, and making a significant impact on one of the world's largest e-commerce platforms.

The position requires strong technical skills in data engineering, ETL processes, and data modeling, combined with the ability to mentor others and drive innovation in data engineering practices. You'll be working in Seattle, WA, at the heart of Amazon's technical innovation center, contributing to systems that power Amazon's worldwide pricing and promotions strategies.

Last updated 12 days ago

Responsibilities For Data Engineer, P2 Science, Data, and Insights

  • Design, build, and operate highly scalable, fault-tolerant data processing systems using AWS services
  • Develop custom data processing frameworks and automation tools
  • Collaborate with data scientists, analysts, and product managers
  • Optimize data pipeline performance, reliability, and cost-efficiency
  • Mentor junior engineers
  • Stay up-to-date with latest big data technologies

Requirements For Data Engineer, P2 Science, Data, and Insights

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Bachelors Degree

Benefits For Data Engineer, P2 Science, Data, and Insights

Medical Insurance
401k
  • Medical Insurance
  • 401k

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