> Markdown version of [/jobs/ext/2683371-data-engineer-ii-ring-agent-platforms](https://www.wearedevelopers.com/jobs/ext/2683371-data-engineer-ii-ring-agent-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II, Ring Agent Platforms - **Company:** Amazon.com, Inc. - **Location:** Hawthorne, CA, United States - **Experience:** Experienced - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Amazon S3, Code Review, Databases, Data Cleansing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Graph Database, Identity and Access Management, Python (Programming Language), Machine Learning, Node.Js, Operational Databases, Scala (Programming Language), Software Engineering, SQL Databases, Scripting, Electronic Medical Records, AWS Glue, Non-relational Database, Virtual Agents, Data Pipelines, Amazon Redshift, Programming Languages - **Published:** September 2, 2026 - **Apply:** https://dejobs.org/x/x/314FBE1178774CF1A9BEC2880336A156/job/ ## About the Role * 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 ## Description 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., This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint 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 well modeled and organized to promote scalable usage and good data hygiene. This role is expected to be able to learn and adapt quickly 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 This Role will: 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. Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates. Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data. Performing Code Reviews and ensuring 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. ## Related Videos - [JavaScript? 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