Data Engineer — Scalable Data Pipelines & AI Analytics

Amazon.com Services LLC; Seattle (WA); On-site; USD 130,000 - 170,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineer for Prime Video's PCF data foundations to advance data infrastructure. You will design and maintain robust data pipelines on AWS, enabling self-service analytics for product and operations teams.

You'll work with large-scale data lakes and warehouses, applying SQL, Python, and ETL best practices, while focusing on data quality, latency reduction, and compliance. Join a rapidly innovating team delivering insights at scale.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and ETL pipelines.
• Experience with SQL.
• Experience in Python, Perl, or another scripting language.

Responsibilities

• Write clean, maintainable code that adheres to best practices.
• Leverage AWS data processing services to build pipelines.
• Design and maintain scalable data architectures and pipelines.
• Ensure data security and compliance with company policies.
• Contribute to GenAI initiatives to improve efficiency and delivery.

Skills

Data engineering

SQL

Python

ETL pipelines

Tools

AWS Redshift

AWS Glue

S3

Kinesis

Lambda

Job description

Amazon.com Services LLC is seeking a Data Engineer for Prime Video's PCF data foundations to advance data infrastructure. You will design and maintain robust data pipelines on AWS, enabling self-service analytics for product and operations teams.

You'll work with large-scale data lakes and warehouses, applying SQL, Python, and ETL best practices, while focusing on data quality, latency reduction, and compliance. Join a rapidly innovating team delivering insights at scale.