Staff Data Engineer
Core
Technical anchor for Crunchyroll's Concepts Lab, designing data pipelines, AI observability frameworks, and semantic layers to turn experimental signals into actionable insights for the anime streaming roadmap.
Role type
Staff Data Engineer (AI/ML Infrastructure & Analytics)
Builds
End-to-end data foundation on Databricks, LLM evaluation frameworks, and production-grade analytics pipelines for an innovation lab.
Domain
Streaming media / AI Research & Development
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Databricks (Spark, Delta Lake, Unity Catalog), SQL, dimensional data modeling, Python, data pipeline orchestration (Airflow/Dagster/dbt), LLM observability (LangSmith/Langfuse/Datadog), hands-on analytics
Preferred skills
Experience in media/streaming/gaming, innovation lab/R&D environments, Datadog/Mixpanel/Mux
Technologies
Databricks, Delta Lake, Unity Catalog, Spark, AWS, GCP, Airflow, Dagster, dbt, LangSmith, Langfuse, Datadog
Responsibilities
Design and build end-to-end data pipelines from AWS/GCP sources to curated datasets; Architect AI system reliability including eval frameworks and observability for LLM pipelines; Lead data modeling and define semantic layers/metrics for experimentation; Perform hands-on analytics and build dashboards to answer business questions; Set technical standards and mentor engineers; Partner to transition successful lab concepts to production engineering teams
Seniority
Staff, hands-on IC with technical leadership
