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.
Build and maintain efficient, scalable, and privacy/security compliant data pipelines to support business stakeholders using native AWS and Amazon internal tools.
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 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.
Build and update AI agents to streamline data engineering tasks.

Basic Qualifications

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

Preferred Qualifications

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)

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