Data Engineer II — Scalable ETL & Metrics Platform

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC is seeking a Data Engineer to design and scale the data infrastructure behind the Outbound Transportation costing platform. You will onboard metrics into a central metrics-as-a-code platform and build pipelines that enable self-service reporting for finance and controllership teams.

You will collaborate with finance stakeholders and product teams to deliver reliable, scalable data solutions and optimize performance across regions, supporting 2,500+ finance customers with

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Bachelor's degree.
• Experience in at least one modern scripting or programming language (Python/Java/Scala/NodeJS).
• Knowledge of distributed systems related to data storage and computing.

Responsibilities

• Design, build, and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services (S3, Glue, Redshift, Airflow, EMR, Lambda).
• Create coherent data models that drive the metadata-driven configuration layer for new metrics and views without code changes.
• Collaborate with finance stakeholders, BI Engineers, and partner teams to gather requirements and deliver trusted datasets.
• Participate in code reviews, design discussions, and planning to increase automation and reduce manual error.
• Optimize query performance and resource usage across the data platform for reliability at scale.

Skills

Data engineering

Data modeling

ETL pipelines

Programming languages

Distributed systems

Education

Bachelor's degree

Tools

AWS (Redshift)

S3

Glue

EMR

Kinesis

Lambda

Job description

Amazon.com Services LLC is seeking a Data Engineer to design and scale the data infrastructure behind the Outbound Transportation costing platform. You will onboard metrics into a central metrics-as-a-code platform and build pipelines that enable self-service reporting for finance and controllership teams.

You will collaborate with finance stakeholders and product teams to deliver reliable, scalable data solutions and optimize performance across regions, supporting 2,500+ finance customers with