Data Engineer - AWS Data Pipelines & GenAI

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

Job summary

Amazon.com Services LLC is seeking a data engineer to build and maintain large-scale data pipelines on AWS. You will contribute to the Partner and Content Foundations data platforms, collaborating with PMs, SDEs, and Applied Scientists to enable reliable data delivery and analytics.

The role emphasizes SQL and Python (or Perl) scripting, data modeling, and ETL development in a fast-paced cloud environment with a focus on security and governance.

Qualifications

• 3+ years of data engineering experience.
• Experience with SQL and Python (or Perl) scripting.
• Experience with AWS data services (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM).

Responsibilities

• Write clean, maintainable code that adheres to best practices.
• Leverage AWS data processing services for big data workflows.
• Understand data types and when to use them.
• Ensure data security and compliance with company policies.
• Explore GenAI to improve efficiency and speed delivery.

Skills

Data engineering

SQL

Python

Perl

ETL pipelines

Data modeling

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

Kinesis

FireHose

Lambda

IAM

Job description

Amazon.com Services LLC is seeking a data engineer to build and maintain large-scale data pipelines on AWS. You will contribute to the Partner and Content Foundations data platforms, collaborating with PMs, SDEs, and Applied Scientists to enable reliable data delivery and analytics.

The role emphasizes SQL and Python (or Perl) scripting, data modeling, and ETL development in a fast-paced cloud environment with a focus on security and governance.