Data Engineer II — GenAI-Driven Data Pipelines

Amazon; Hawthorne (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Amazon in Hawthorne, CA is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting analytics, reporting, and ML workloads. You will work with software engineers, scientists, and business stakeholders to ensure data is well-modeled, governed, and readily usable.

Responsibilities include ingesting data with native AWS services and internal tools, collaborating to meet business needs, and advancing GenAI-enabled data platforms for internal teams and external

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.

Responsibilities

• Build and maintain scalable data pipelines using AWS and internal tools.
• Collaborate with stakeholders to ensure data ingested meets business needs.
• Learn and apply GenAI tooling to improve data frameworks and processes.
• Perform code reviews and enforce ETL best practices.

Skills

Data engineering

SQL

Data modeling

ETL pipelines

Warehousing

Python

GenAI

Tools

Redshift

S3

Glue

EMR

Kinesis

Lambda

IAM

Job description

Amazon in Hawthorne, CA is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting analytics, reporting, and ML workloads. You will work with software engineers, scientists, and business stakeholders to ensure data is well-modeled, governed, and readily usable.

Responsibilities include ingesting data with native AWS services and internal tools, collaborating to meet business needs, and advancing GenAI-enabled data platforms for internal teams and external