Data Engineer II: Build Scalable ETL & Data Models

Amazon Inc.; Seattle (WA); Hybrid; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA is seeking a Senior Data Engineer to design and maintain scalable data models, ETL pipelines, and data integration services for business analytics. You will partner with leaders to translate requirements into robust data solutions and support rapid growth in data infrastructure.

The role emphasizes ambiguity tolerance, hands-on implementation, and delivering high-visibility impact with senior leadership.

Qualifications

• 3+ years of data engineering experience.
• 1+ years building and operating large-scale BI data structures using ETL/ELT.
• 1+ years building BI data structures using OLAP technologies.
• 1+ years building BI data structures using data modeling.
• 1+ years using SQL.
• 3+ years in the offered role or related occupation.
• Bachelor's degree or foreign equivalent in CS, Engineering, IS, Mathematics, or related field.
• Experience with data modeling, warehousing and ETL pipelines.

Responsibilities

• Build efficient, scalable data models and data integration services.
• Design and operate ETL/ELT pipelines for BI analytics.
• Partner with business leaders to address key questions with data.
• Support and grow data solutions as the business scales.
• Work with AWS data tools to enable analytics at scale.

Skills

Data engineering

SQL

ETL/ELT

OLAP

Data modeling

Big data

Ambiguity management

Education

Bachelor's degree

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Firehose

AWS Lambda

Job description

Amazon in Bellevue, WA is seeking a Senior Data Engineer to design and maintain scalable data models, ETL pipelines, and data integration services for business analytics. You will partner with leaders to translate requirements into robust data solutions and support rapid growth in data infrastructure.

The role emphasizes ambiguity tolerance, hands-on implementation, and delivering high-visibility impact with senior leadership.