Amazon
Data Engineer , Amazon Customer Service
$132K–$179K
Seattle, WA · Full-time · Posted Sep 16, 2026
- Experience
- 3+ years of data engineering experience; 1+ years in each of ETL/ELT, OLAP technologies, SQL, and Oracle for large-scale BI data structures.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Build and maintain data models, pipelines, and platforms that support analytics, reporting, and customer service improvements across Amazon Customer Service.
What you'll do
- Design and implement data models and large-scale ETL/ELT pipelines, and maintain reliability for business-critical reporting.
- Own data quality, monitoring, governance, and infrastructure modernization, including schema and pipeline migrations.
- Partner with technical and business teams to deliver self-service data tools and datasets; review code and mentor peers.
What they ask for
- 3+ years of data engineering experience.
- 1+ years developing and operating large-scale BI data structures using ETL/ELT processes, OLAP technologies, SQL, and Oracle.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
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 databases or data stores.
Pay
USD 132,100.00 - 178,800.00 annually (base salary)
Tools
AWS Glue, Spark, Redshift, EMR, SQL, Oracle, S3, Kinesis
Model-written summary · the original posting is authoritative