Data Engineer II, Ring Agent Platforms

Amazon; Hawthorne (CA); Presencial; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Amazon in Hawthorne, CA is seeking a Data Engineer to design, build, and maintain scalable data pipelines supporting analytics, reporting, and ML workloads. You will work with software engineers, scientists, and business stakeholders to ensure data is well-modeled, governed, and readily usable.

Responsibilities include ingesting data with native AWS services and internal tools, collaborating to meet business needs, and advancing GenAI-enabled data platforms for internal teams and external

Formación

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.

Responsabilidades

• Build and maintain scalable data pipelines using AWS and internal tools.
• Collaborate with stakeholders to ensure data ingested meets business needs.
• Learn and apply GenAI tooling to improve data frameworks and processes.
• Perform code reviews and enforce ETL best practices.

Conocimientos

Data engineering

SQL

Data modeling

ETL pipelines

Warehousing

Python

GenAI

Herramientas

Redshift

S3

Glue

EMR

Kinesis

Lambda

IAM

Descripción del empleo

Job ID: 3208020 | Amazon.com Services LLC

Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientist and business stakeholders across various verticals. You will design, evangelize, and implement state‑of‑the‑art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations. This role will be expected to utilize GenAI to build reliable, scalable data pipelines, which produce data optimized for our customers, who will also be utilizing AI Agent pipelines.

Key job responsibilities

This role will be responsible for building and maintaining efficient, scalable, and privacy/security compliant data pipelines to support our business stakeholders. These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies.

This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will be well‑modelled and organized to promote scalable usage and good data hygiene.

This role is expected to be able to learn and adapt quickly to new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate.

A day in the life

Collect and discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.

Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools.

Maintain/Improve existing data ingestions and ensure they meet evolving standards and corporate mandates.

Build/Improve/Maintain frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data.

Perform code reviews and ensure best practices are followed for ETL and data hygiene by team members and supporting teams.

About the team

Ring Agent Platforms manages the centralized data repository for Ring and maintains GenAI Agent Platform. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information. We build and maintain a data platform for teams to onboard and build GenAI Agents and interact with data we collect and curate about the Ring Business.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases)
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience working in or building GenAI enhanced data pipelines

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.