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.