A Pear VC-backed industrial data startup is hiring its founding data engineer. You'll own the data infrastructure end to end — scraping thousands of messy public sources into a real-time knowledge graph. What we're looking for: • ~3 years building data products in production • Strong Python + SQL, PostgreSQL, GCP • Built scrapers across heterogeneous data sources at scale • Knowledge graph experience (Neo4j, Neptune, or custom) • Airflow or equivalent orchestration • Fluent with Claude Code / Cursor / Codex and an active GitHub • Startup background — you operate without scaffolding • High agency, opinions, willing to push back The offer: • Founding-team equity (0.5%–1.5%) • Path to CTO as the team scales • Real ownership from day one Heads up: this is in-person San Francisco with an intense, high-commitment hours culture (996). Only apply if that's the environment you want. US work authorization required (OPT/STEM OPT fine).