AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com, Inc.
Hawthorne, CA, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$132,100.0 - $178,800.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Data Analysis Big Data Databases Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Mining Data Stores
+21 more
Data Systems Data Visualization Distributed Systems Graph Database Identity and Access Management Microsoft Platform Builder Power BI Standard Sql Software Engineering Tableau (Software) Data Classification Electronic Medical Records Event Driven Architecture AI Platforms Information Technology Data Lineage AWS Glue Non-relational Database Data Management Data Pipelines Amazon Redshift

Job description

We are seeking a Platform Builder-a Data Engineer focused on developing platforms and scalable data solutions-with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering-requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity.

This role requires a a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure-from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem.

Key job responsibilities You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you’ll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems.

A day in the life

  • 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 to 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

About the team The Agent Platform Organization is at the forefront of Ring’s transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.

Requirements

  • 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 of data extraction, ingestion, and processing of large data sets
  • Experience developing, deploying and managing AI products at scale, * Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and 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

Benefits & conditions

3.53.5 out of 5 stars Hawthorne, CA $132,100 - $178,800 a year - Full-time, Pulled from the full job description

  • AD&D insurance
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Hawthorne - 132,100.00 - 178,800.00 USD annually

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