Data Engineer II - Scale Data Pipelines for Creators

Amazon Game Studios; Culver City (CA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineer for the Creator Services data and tech team in Culver City to build robust data pipelines and data platforms enabling AI-driven analytics and creator monetization at scale.

You will collaborate with BI engineers and stakeholders, design scalable data models, and own end-to-end data platform components across architecture, deployment, and monitoring. 3+ years of data engineering experience and a strong AWS background are preferred.

Qualifications

• 3 years of data engineering experience.
• Bachelor’s degree.
• 3 years of data warehouse technical architectures, data modeling, ETL/ELT and reporting/analytic tools and environments, SQL coding experience.
• Experience with database, data warehouse or data lake solutions.

Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines that process data at scale with high reliability and performance.
• Architect and curate data models, warehouses, and dimensional schemas for self-service analytics and AI initiatives.
• Drive end-to-end technical ownership of data platform components — from design to deployment, monitoring, and incident response.
• Leverage AWS services to build scalable data platforms.
• Partner with BI engineers, program managers, and business stakeholders to translate data needs into technical solutions.

Skills

Data engineering

SQL coding

Data modeling

ETL/ELT design

Data warehousing

Education

Bachelor's degree

Tools

AWS Redshift

S3

Glue

Lambda

ECS

DynamoDB

Bedrock

IAM roles

Job description

Amazon.com Services LLC is seeking a Data Engineer for the Creator Services data and tech team in Culver City to build robust data pipelines and data platforms enabling AI-driven analytics and creator monetization at scale.

You will collaborate with BI engineers and stakeholders, design scalable data models, and own end-to-end data platform components across architecture, deployment, and monitoring. 3+ years of data engineering experience and a strong AWS background are preferred.