AI Platform Data Engineer, Ring Agent Platform Org

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

Job ID: 10475695 | Amazon.com Services LLC

Overview

We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions. This role sits at the intersection of data engineering, business intelligence, and platform engineering, partnering with software development engineers, data scientists, data analysts, and business stakeholders across subscriptions and monitoring services. The goal is to design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self‑service reporting, delivering reliable subscriber experiences at greater velocity.

Responsibilities

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

Qualifications (Basic)

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

Preferred Qualifications

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles/permissions.
• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.
• Experience with non‑relational databases/data stores (object storage, document or key‑value stores, graph databases, column‑family databases).
• Experience with reporting and data visualization tools such as QuickSight, Tableau, Power BI, or other BI packages.

Salary and Benefits

Salary range: $132,100.00 – $178,800.00 USD annually in Hawthorne, CA. Compensation includes sign‑on payments and restricted stock units. Benefits include health, dental, vision, prescription, basic life & AD&D insurance, mental health support, EAP, flexible spending accounts, parental leave, 401(k) matching, paid time off, and more.

Equal Opportunity Employer

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.