Founding Data Engineer - Data Startup -SF
Benchstack Ai
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).
Vacancy posted 6 hours ago
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