Amazon
Data Engineer, Global Logistics Product Analytics Team
$132K–$179K
Bellevue, WA · Full-time · Posted Sep 30, 2026
- Experience
- 3+ years of data engineering experience; 3+ years in the job offered or a related occupation; 1+ years for each stated BI data structure area (ETL/ELT, OLAP, data modeling, SQL, Oracle).
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Designs and operates scalable data systems and analytics foundations for Amazon Global Logistics, including ETL pipelines, data platforms, and generative AI initiatives.
What you'll do
- Build and maintain scalable ETL pipelines, CI/CD infrastructure, and data instrumentation frameworks.
- Administer AWS data platforms and improve data architecture, quality, availability, and self-service reporting.
- Collaborate across teams and experiment with Gen-AI tools to support data-driven logistics decisions.
What they ask for
- 3+ years of data engineering experience and 3+ years in the job offered or a related occupation.
- At least 1 year of experience with large-scale BI data structures using ETL/ELT, OLAP, data modeling, SQL, and Oracle.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
Nice to have
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational databases or data stores.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
AWS, Redshift, Kinesis, S3, Lambda, AWS Bedrock, Oracle, SQL
AI focus
Build and experiment with Gen-AI tools such as AWS Bedrock to support intelligent data solutions.
Model-written summary · the original posting is authoritative