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-co...