Data Engineer (Enterprise Data & AI)

- For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position - Bachelor’s degree in a related field, or equivalent practical experience - Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability - 8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role - Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support - Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar - Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving - Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage - Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products - Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built - Experience with dimensional modeling or master data management -…