Data Engineer

TLDR: This is a broad, full-stack data engineering role. You'll design and run production data pipelines, model data so it's usable across teams, and build the warehouse and tooling that turn raw data into something people can actually work with. You'll be the second data engineer on the team, that means real ownership from day one, a direct line to how the company operates, and no shortage of problems worth solving. ABOUT US White Circle https://whitecircle.ai is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over one hundred million API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need. WHAT YOU’LL DO - Design, build, and maintain production data pipelines - ingestion, transformation, and orchestration - that are reliable enough to be depended on. - Model and structure data in the warehouse so it's clean, documented, and genuinely useful to engineering, product, and research teams. - Own data infrastructure alongside the current data engineer: schema design, migrations, performance, and cost. - Provide data support to GTM engineers - deliver curated, enriched company and account data and the modeling layer that makes it query-ready. - Integrate and route diverse data sources into the warehouse, from internal product events to third-party enrichment feeds. - Occasionally build data-extraction job