AI Platform Data Engineer, Ring Agent Platform Org

Job :  |  Services LLC

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.

• 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 life cycles, 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.

• 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.

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, 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 Quick Sight, Tableau, Power BI, or other BI packages.

Salary range: $ – $ 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.

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