Data Engineer II — Build Scalable, AWS‑Powered Pipelines

Amazon; Bellevue (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSU eligibility

Job summary

Amazon is seeking a data engineer to design and build scalable data models, ETL pipelines, and data integration services. You will partner with business leaders to deliver insights and support growth with efficient, automated processes.

The role requires strong SQL, data modeling, and OLAP capabilities, plus experience with large-scale BI analytics and AWS data services. Expect high visibility and impact across teams in a fast-paced environment.

Qualifications

• 3+ years of data engineering experience.
• 1+ years building large-scale BI analytics data structures.
• 1+ years building OLAP data structures and data modeling.
• 1+ years ETL/ELT processes experience.
• Bachelor's degree in CS/Engineering/IS/Math or foreign equivalent.
• Experience with data warehousing and ETL pipelines.

Responsibilities

• Design and implement scalable, efficient data models and ETL pipelines.
• Collaborate with leadership to deliver data solutions that answer key business questions.
• Maintain and improve data infrastructure for growth and reliability.

Skills

Data engineering

SQL

Data modeling

ETL/ELT

OLAP

BI analytics

Business partnering

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or Math

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM roles

Job description

Amazon is seeking a data engineer to design and build scalable data models, ETL pipelines, and data integration services. You will partner with business leaders to deliver insights and support growth with efficient, automated processes.

The role requires strong SQL, data modeling, and OLAP capabilities, plus experience with large-scale BI analytics and AWS data services. Expect high visibility and impact across teams in a fast-paced environment.