Data Engineer II, Ring Data Warehouse

Amazon • Hawthorne, CA

69d • $118,900 - $205,600

About The Position

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, scientists, and business stakeholders across various verticals. You will design, evangelize, and implement efficient solutions that help us provide a great customer experience at a greater velocity. 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 pipelines, machine learning, optimization models, statistical models, and simulations. The ideal candidate will utilize Generative AI tools to streamline data pipeline development, automate documentation generation, enhance code quality through AI-assisted reviews, and accelerate problem-solving in complex data scenarios. Experience with AI-powered development tools, automated testing frameworks, and intelligent data analysis platforms is highly valued.

Requirements

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

Nice To Haves

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

Responsibilities

• 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 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.
• Building and updating AI Agents to streamline Data Engineering Tasks.

Benefits

• Equity and sign-on payments may be provided as part of a total compensation package
• Full range of medical, financial, and/or other benefits

What This Job Offers

• Career Level: Mid Level
• Industry: Motor Vehicle and Parts Dealers
• Education Level: Bachelor's degree