Founding Data Engineer (Pricing/Comps)

About the Role

Join an early-stage internet marketplace company to build the data systems behind reliable pricing estimates. You will turn noisy sold-listing data into trustworthy comparable items and pricing signals, working closely with computer vision partners.

What You'll Do

• Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
• Develop entity resolution that links inconsistent listing text and images to canonical items.
• Create valuation logic that estimates prices from comparable sales, accounting for recency, condition, and the number of comps.
• Build production monitoring to identify data drift, fraud, stale comparisons, and other quality issues.
• Partner with computer vision teammates to define item matching across sources with varying levels of detail.
• Evaluate build-versus-buy options for data sources, licensing, and third-party pricing feeds.

What We're Looking For

• At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines.
• Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.
• Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
• Experience with entity resolution or record linkage at scale, and production data quality monitoring.
• Exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
• Experience ingesting data from multiple external sources and making technical build-versus-buy decisions.
• Pricing intelligence, data licensing, and early-stage startup experience are helpful.