Amazon
Data Engineer II, AWS Analytics Engineering
$132K–$179K
Seattle, WA · Full-time · Posted Oct 29, 2026
- Experience
- 3+ years in data engineering and in the offered job or a related occupation; 3+ years in the listed BI technologies and practices; 1+ years with ETL/ELT processes.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
About the job
Own analytics engineering for AWS Compute services, operating data pipelines and executive reporting while building metrics, dashboards, and analyses for product decisions.
What you'll do
- Monitor and improve ETL pipelines, reporting workflows, and LLM-generated performance callouts.
- Ingest data, create business-health metrics, and develop interactive dashboards and reproducible analyses.
- Partner with product and finance stakeholders and present findings to senior leaders.
What they ask for
- At least 3 years of data engineering experience, including large-scale BI data structures using ETL/ELT, OLAP, data modeling, SQL, and Oracle.
- At least 1 year of experience with ETL/ELT processes.
- 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 such as 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
Redshift, QuickSight, Weave, SQL, Oracle, S3, AWS Glue, EMR
AI focus
Operate and improve AI-powered agents for pipeline self-healing and triage, and LLM workflows for report generation, validation, and callout generation.
Model-written summary · the original posting is authoritative