Data Engineer, Ring Agent Platforms

We are looking for a Data Engineer to design build and operate the data pipelines models and platform infrastructure that power Rings analytics science and AI initiatives. You will own the end-to-end data lifecycle ingestion transformation modeling quality enforcement and delivery ensuring that analysts scientists and AI systems have access to reliable well-structured data at scale.
You will use AI development IDEs and generative AI tooling daily to accelerate your work and you will build multi-agent solutions that automate common data engineering tasks pipeline generation data quality enforcement testing and operational response. The goal is to turn repeatable patterns into agent-driven workflows that raise velocity and consistency across the team.
You will also contribute to the shared data platform when needed improving developer tooling maintaining infrastructure and supporting the services that the broader data org depends on.

About the team
The Data and Agents Organization spans data engineering business intelligence applied science and agentic AI. The org is structured into three primary groups: one focused on core data platforms tooling and pipeline infrastructure; another focused on AI/ML models business analytics shared data models product analytics and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose deploy and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support strategic new development and operational health.

- Experience in data engineering
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with SQL
- Familiarity with data modeling and data quality practices
- Experience with software development life cycle practices including code reviews source control CI/CD testing and operational support
- Demonstrated use of generative AI tools (e.g. agentic coding assistants AI-powered IDEs) in a professional or project setting

- 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)

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