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Closed on August 6, 2026.

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Amazon.com Services LLC

Data Engineer, NAST-CX Tech

Amazon.com Services LLC
Bellevue, WA Full time Posted 2mo ago
Amazon Emr Amazon Web Services Analytics Big Data Bigdata Business Intelligence Data Analytics Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse ETL Hadoop Hive Node Js Reporting and Analytics Scala SQL
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Job Description

As a Data Engineer on the Amazon Transportation Services team, you will help shape the data backbone that powers reporting, analytics, and machine learning across a fast-moving logistics network. This onsite Bellevue, Washington role focuses on designing, implementing, and maintaining scalable data infrastructure and ETL pipelines using AWS technologies to deliver reliable data for business intelligence, analytics, and data-driven decision making.

Responsibilities

  • Translate business requirements into a data platform architecture that serves business intelligence engineers, data scientists, and product managers.
  • Collaborate with other technology and data engineering teams to extract, transform, and load data from a wide range of sources using AWS data technologies.
  • Explore and evaluate the latest AWS capabilities to introduce new features and improve efficiency.
  • Maintain and enhance existing data pipelines and establish scalable, automated data ingestion processes.
  • Partner with BIE leaders, business owners, and developers to identify new data sources and deliver BI and analytics solutions.
  • Develop end-to-end automation of data pipelines so datasets are readily consumable by visualization tools, ML platforms, and reporting processes on various cadences.
  • Improve data integrity, availability, and auditability through robust processes.

Requirements

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Proficiency in SQL.
  • Experience in at least one modern scripting or programming language such as Python, Java, Scala, or NodeJS.
  • Experience mentoring team members on best practices.

Technologies

  • SQL
  • Python
  • Java
  • Scala
  • NodeJS
  • Hadoop
  • Hive
  • Spark
  • EMR
  • AWS data technologies

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

A Day In The Life

As a Data Engineer, you will craft new data engineering patterns aligned with cloud architectures and extend or migrate pipelines to align with these architectures as needed. You will design and implement complex ETL pipelines within a big data platform and related BI solutions to support growing data demands, delivering data as a service that informs day-to-day decisions across the business.

About The Team

Amazon provides a broad benefits program to support employees and eligible family members, including domestic partners and their children. Benefits can vary by location, hours worked, length of employment, and job status such as seasonal or temporary employment. The core benefits typically available to regular full-time employees include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

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