Data Engineer, P2 Science, Data, and Insights

Global technology and e-commerce company that leads in online retail, cloud computing, and artificial intelligence.
$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

Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a talented Data Engineer to join their team. This role combines data engineering expertise with business intelligence to deliver optimal pricing solutions for Amazon's customers. As a Data Engineer, you'll be at the forefront of developing and implementing sophisticated data pipelines and BI solutions that directly impact Amazon's pricing strategies.

The position offers an opportunity to work with cutting-edge AWS technologies and services, including Redshift, S3, AWS Glue, EMR, and Lambda. You'll be responsible for building robust data architectures that support business analysts, data scientists, and customer reporting needs. The role requires strong technical skills in data modeling, warehousing, and ETL pipeline development.

Working within the Pricing and Promotions Sciences team, you'll contribute to systems that drive intelligent pricing and promotions decisions at scale. The team takes a holistic approach, considering everything from sourcing to customer experience, making this an excellent opportunity for someone who wants to see their work have a direct impact on Amazon's business operations.

The compensation is competitive, ranging from $118,900 to $205,600 per year, depending on location, plus additional benefits including equity and comprehensive medical coverage. This is an excellent opportunity for a data professional looking to work on large-scale systems that directly impact millions of customers while being part of a team that values innovation and data-driven decision making.

Last updated 17 hours ago

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

  • Architecture design and implementation of next generation data pipelines and BI solutions
  • Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
  • Build and deliver high quality data architecture and pipelines
  • Interface with other technology teams to extract, transform, and load data
  • Improve ongoing reporting and analysis processes

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
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Total compensation package

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