Amazon
Data Engineer II, AWS DC Global Network Delivery
$132K–$179K
Seattle, WA +1 · Full-time · Posted Oct 15, 2026
- Location
- Seattle, WA
Herndon, VA - Experience
- 4+ years of data engineering experience
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
About the job
Build and operate context-rich data pipelines and source-of-truth datasets for AWS data center infrastructure delivery, supporting analytics, self-service business decisions, and ML/LLM use cases.
What you'll do
- Design, develop, and operate scalable, cost-efficient, auditable, highly available data pipelines and ETL/ELT workflows.
- Build lifecycle data models and trusted datasets, and establish data quality, governance, documentation, and monitoring practices.
- Partner with Software, Product, and Data Engineering teams to improve data access, resolve operational issues, and strengthen upstream sources.
What they ask for
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Experience with SQL.
- Experience delivering end-to-end projects independently.
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 data stores or batch and streaming data architectures.
Pay
132,100.00 - 178,800.00 USD annually (base salary)
Tools
S3, Redshift, Glue, EMR, Athena, Lambda, Python, SQL
AI focus
Build context-rich datasets and pipelines that support analytics and ML/LLM use cases; apply data mining, data modeling, and AI to evaluate business health and drive improvement.
Model-written summary · the original posting is authoritative