AI Platform Data Engineer, Ring Decision Science, Ring Decision Science

Socket.dev; Hawthorne (CA); On-site; USD 101,000 - 160,000; Full time

Job summary

Ring's Analytics & Science team seeks a data engineer to build and maintain scalable data pipelines, curated AI-ready datasets, and AI-native platforms using an AI-first approach. You will partner with business stakeholders and data science teams to deliver well-modeled, easily discoverable data.

In this role you will lead AI-assisted stakeholder sessions, design curated datasets, and implement governance for data classification, PII, and lineage.

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL and one or more query languages.
• Experience with scripting languages such as Python.

Responsibilities

• Build and maintain data pipelines with AI-assisted development.
• Create curated datasets for AI/ML consumption.
• Develop AI-native self-service data platforms and governance.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

Python

Big data

Tools

Hadoop

Hive

Spark

EMR

Informatica

SSIS

Job description

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 using an AI-first development methodology. 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 AI-powered solutions and agentic frameworks to build continuously improving systems.

A day in the life

• Lead AI-assisted stakeholder engagement sessions across verticals like Subscriptions, Security, Sales, and Marketing


• Design and build curated datasets leveraging AI code generation and Agentic AI tools


• Build and maintain data pipelines using AI-assisted development with AWS services and internal Amazon tools

This Role will:

• Implement AI-powered self-service platforms with natural language interfaces


• Create intelligent governance systems for data classification, PII detection, and lineage tracking


• Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively

About the team

The Analytics & Science team for Decision Sciences 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 (BI) support across multiple teams, and build customer-facing and internal AI tools that fundamentally improve how effectively and quickly the organization makes decisions.

Basic Qualifications

• 1+ years of data engineering experience


• Experience with data modeling, warehousing and building ETL pipelines


• Experience with SQL


• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)


• Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR


• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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

Los Angeles County applicants

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\'re applying in isn\'t listed, please contact your Recruiting Partner.

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 - 101,300.00 - 160,000.00 USD annually