Founding Data Engineer - Data Startup -SF

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 productionStrong Python + SQL, PostgreSQL, GCPBuilt scrapers across heterogeneous data sources at scaleKnowledge graph experience (Neo4j, Neptune, or custom)Airflow or equivalent orchestrationFluent with Claude Code / Cursor / Codex and an active GitHubStartup background — you operate without scaffoldingHigh agency, opinions, willing to push backThe offer:Founding-team equity (0.5%–1.5%)Path to CTO as the team scalesReal ownership from day oneHeads 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).