Founding Data Engineer (Pricing/Comps)

Job description

### 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. ### Compensation & Benefits Base salary: $160,000 to $220,000 annually. Visa sponsorship is not available. ### Location Hybrid role based in New York, New York.