Location Hawthorne, CA onsite; salary USD 132,100 to 178,800 per year; minimum experience 3+ years.

Design, build, and operate the data pipelines, models, and Ring data platform that enable analytics, science, and AI initiatives.
Own the full data lifecycle from ingestion through delivery, including transformation, modeling, quality enforcement, and delivery, ensuring reliable, well structured data at scale for analysts, researchers, and AI systems.
Leverage AI development IDEs and generative AI tooling daily to accelerate work and develop multi agent solutions that automate common data engineering tasks such as pipeline creation, data quality checks, testing, and incident response.
Convert repeatable processes into agent driven workflows to boost velocity and consistency across the team.
Contribute to the shared data platform as needed, improving developer tooling, maintaining infrastructure, and supporting services relied upon by the broader data organization.

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Proficiency in SQL
Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
Demonstrated use of generative AI tools in a professional or project setting (eg, agentic coding assistants, AI powered IDEs)
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non relational databases or data stores (object storage, document or key value stores, graph databases, column family databases)
Experience designing or building AI agents or multi agent solutions that automate engineering workflows
Familiarity with agentic AI patterns including tool use, function calling, and multi agent orchestration
Familiarity with at least one agentic AI development IDE
Experience building or maintaining shared data models, semantic layers, or data contracts
Familiarity with data governance, cataloging, or lineage tracking
Experience contributing to shared platform infrastructure, developer tooling, or self service data services
Familiarity with observability tooling for data pipelines including logging, metrics, and alerting

Data Engineer, Ring Agent Platforms

Job Description