Data Engineer

ABOUT ARENA INTELLIGENCE Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. ABOUT THE ROLE Arena Intelligence is seeking an experienced Data Engineer to own the data foundations that power real-world AI evaluation. In this role, you will design and build the analytics-layer data models, pipelines, and metrics that turn raw user activity and votes into trusted insights for the public, AI labs, and enterprise customers. This role sits at the intersection of data engineering, analytics, and product. You’ll work closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure that our evaluation data is accurate, interpretable, and scalable. Your work will directly shape how AI performance is measured, understood, and acted upon across the industry. This