AI-Driven Platform Data Engineer (Subscriptions & Analytics)

Amazon; Hawthorne (CA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) matching

Paid time off

Job summary

Amazon in Hawthorne, CA seeks a Platform Builder—Data Engineer to design and maintain scalable data platforms, pipelines, and curated datasets powering subscription analytics and self-service reporting.

You will collaborate with Subscription, Finance, and Monitoring Service teams to deliver AI-ready data products, govern data, and enable stakeholders with trusted insights at velocity.

Qualifications

• 3+ years of data engineering experience.
• Experience with SQL.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience building/operating highly available, distributed data systems for large data sets.
• Experience developing, deploying, and managing AI products at scale.

Responsibilities

• Build and maintain scalable data pipelines and curated datasets for AI/ML consumption and self-service data platforms.
• Partner with Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions.
• Build and maintain datasets supporting analysis of customer lifecycles, churn signals, and service health metrics.
• Develop and operate data pipelines using AWS services and internal Amazon tools, with automation to improve efficiency.
• Contribute to self-service data platforms enabling access to subscription and monitoring data.
• Implement data governance including data classification, PII detection, and lineage tracking.
• Support working sessions that help stakeholders understand and adopt data capabilities.

Skills

Data engineering

SQL

Data modeling

ETL pipelines

Distributed systems

AI products

Education

Master's degree

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

IAM roles/permissions

Job description

Amazon in Hawthorne, CA seeks a Platform Builder—Data Engineer to design and maintain scalable data platforms, pipelines, and curated datasets powering subscription analytics and self-service reporting.

You will collaborate with Subscription, Finance, and Monitoring Service teams to deliver AI-ready data products, govern data, and enable stakeholders with trusted insights at velocity.