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AI Platform Data Engineer, Ring Agent Platform Org

Amazon · Hawthorne · Full-time · Technology / Software & Data
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Visa & eligibility

Accepts F-1 students
not published
Supports CPT
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Supports OPT
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Supports STEM OPT
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E-Verify employer
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Sponsorship stance
Unknown / not mentioned

The job

Location
US, CA, Hawthorne
Work setting
Unclear
Hours per week
not published
Schedule
not published
Experience required
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New graduates accepted
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Skills mentioned

sqlawstableaucustomer service

Compensation & benefits

Pay range
not published
Relocation assistance
not published
Health insurance
Mentioned
show source text
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

Benefits mentioned in the posting

401(k)dentalhealth insurancepaid time offparental leavevision

Applying

Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 23, 2026, 2:18 a.m.
Applies directly to employer
Yes

Apply on the employer's site →

Employer

Company
Amazon
Industry
Retail / Grocery / Delivery
Company size
not published
Contact
not published
Contact email
not published
Source
Amazon Corporate (CA)

Full 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.<br/><br/>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.<br/><br/>Key job responsibilities<br/>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.<br/><br/>A day in the life<br/>* Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions<br/>* Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics<br/>* Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency<br/>* Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data<br/>* Implement data governance components including data classification, PII detection, and lineage tracking<br/>* Support working sessions that help stakeholders understand and adopt data capabilities collaboratively<br/><br/>About the team<br/>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. - 1+ years of data engineering experience<br/>- Experience with data modeling, warehousing and building ETL pipelines<br/>- Experience with SQL<br/>- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)<br/>- Experience developing, deploying and managing AI products at scale - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.<br/>- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools<br/>- Knowledge of AWS Infrastructure<br/>- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent<br/><br/>Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br/><br/>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.<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.<br/><br/><p><span style="color: rgb(35, 47, 62)" class="ProseMirror-FontColor">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 &amp; AD&amp;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 </span><a target="_blank" rel="noopener noreferrer nofollow" href="https://amazon.jobs/en/benefits"><span style="color: rgb(35, 47, 62)" class="ProseMirror-FontColor">https://amazon.jobs/en/benefits</span></a><span style="color: rgb(35, 47, 62)" class="ProseMirror-FontColor">.</span></p><br/><br/>USA, CA, Hawthorne - 101,300.00 - 160,000.00 USD annually
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