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Data Engineer, Pricing and Promotions Science Data and Insights

Global technology and e-commerce company that operates the world's largest online retail platform.
$103,300 - $172,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS · AI

Job Description

Join Amazon's Pricing & Promotions Science, Data and Insights team as a 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 engineering solutions. You'll work with cutting-edge AWS technologies to build and maintain complex data pipelines and analytics workloads.

As a Data Engineer, you'll be responsible for designing and implementing highly scalable, fault-tolerant data processing systems using modern AWS services including Redshift, S3, Glue, EMR, Kinesis, and Lambda. You'll leverage your programming 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.

The position offers significant growth opportunities, including mentoring junior engineers and driving the adoption of innovative solutions. You'll be part of a team that facilitates data-driven decision-making at scale, focusing on both long-term and short-term impacts across Amazon's ecosystem. The role combines technical expertise with business impact, as you'll work on systems that directly influence Amazon's pricing and promotions strategies.

This is an excellent opportunity for an experienced data engineer who wants to work with big data technologies, contribute to mission-critical systems, and make a significant impact on one of the world's largest e-commerce platforms. The role offers competitive compensation and the chance to work with a team that thinks holistically about customer experience and business success.

Last updated 3 months ago

Responsibilities For Data Engineer, Pricing and Promotions 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
  • Build automated data quality monitoring and audit mechanisms
  • Develop and maintain core infrastructure for data engineering teams

Requirements For Data Engineer, Pricing and Promotions Science Data and Insights

Python
Java
Scala
  • 4+ years of data engineering experience
  • Experience building/operating highly available, distributed systems
  • Experience in Python, Java, Scala, or NodeJS
  • Experience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, Lambda)
  • Experience with SQL
  • Experience with data audit and reconciliation strategies
  • Experience with data pipeline orchestration frameworks like Airflow
  • Experience with streaming data processing technologies

Benefits For Data Engineer, Pricing and Promotions Science Data and Insights

Medical Insurance
Equity
  • Medical Insurance
  • Equity

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