Amazon
Data Engineer , Amazon Customer Service
$132K–$179K
Seattle, WA · Full-time · Posted Oct 9, 2026
- Experience
- 3+ years of data engineering; 1+ years in each of the specified ETL/ELT, OLAP, SQL, and Oracle areas.
About the job
Designs and operates secure, reliable data pipelines and infrastructure for Amazon Customer Service analytics and AI/ML capabilities.
What you'll do
- Build and optimize ETL/ELT frameworks and real-time and batch data solutions, with data quality monitoring.
- Implement data governance, security, access management, and privacy-compliant architectures.
- Lead technical design reviews, mentor engineers, and improve data infrastructure and operational efficiency.
What they ask for
- 3+ years of data engineering experience.
- 1+ years developing and operating large-scale business intelligence data structures using ETL/ELT processes.
- 1+ years developing and operating large-scale business intelligence data structures using OLAP technologies.
- 1+ years developing and operating large-scale business intelligence data structures using SQL and Oracle.
Nice to have
- Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Experience with non-relational data stores, data modeling, warehousing, or building ETL pipelines.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
ETL/ELT, OLAP, SQL, Oracle, Redshift, S3, AWS Glue, EMR
AI focus
Build and optimize data solutions supporting AI/ML applications and AI capabilities.
Model-written summary · the original posting is authoritative