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Data Engineer I

Global technology and e-commerce company that operates the world's largest online marketplace and cloud computing platform.
Data
Entry-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · AI

Job Description

Join Amazon's Fulfillment by Amazon (FBA) team as a Data Engineer I in the WW FBA Central Analytics team. This role is crucial in building and operating scalable, enterprise-grade data infrastructure that powers Amazon's global fulfillment network. You'll work on one of the largest analytics ecosystems, focusing on GenAI-powered insights assistant initiatives by building and scaling ingestion and embedding pipelines for unstructured knowledge bases.

The position offers an opportunity to work with cutting-edge technologies including AWS services, big data technologies, and AI/ML systems. You'll be responsible for developing data pipelines, ensuring data consistency, and creating APIs that integrate AI insights with business tools. The role combines technical expertise in data engineering with exposure to advanced AI applications in a business context.

Working at Amazon, you'll be part of a team that enables sellers to scale their businesses globally through FBA's world-class fulfillment network. The position offers exposure to diverse datasets and next-generation capabilities using LLMs to unlock insights. You'll collaborate with global product, program, and operations teams to unify diverse datasets and deliver self-service analytics.

This is an ideal role for someone passionate about data engineering who wants to work at scale, with opportunities to impact millions of sellers and customers worldwide. You'll be at the forefront of combining massive-scale data operations with advanced AI technologies, while ensuring high reliability and performance of critical analytics systems.

Last updated 4 days ago

Responsibilities For Data Engineer I

  • Build batch and streaming data pipelines using Spark and AWS streaming services
  • Implement automated checks to ensure data consistency across different data types
  • Define and maintain data contracts with source teams to keep schemas consistent
  • Develop cross-domain metadata services linking structured and unstructured data catalogs
  • Create APIs and event-driven workflows integrating AI insights with business tools
  • Monitor pipeline health, costs, and SLA adherence

Requirements For Data Engineer I

Python
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (e.g., Python, KornShell)

Benefits For Data Engineer I

Medical Insurance
Dental Insurance
Vision Insurance
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Workplace accommodations available for disabilities