Founding Data Engineer, Pricing and Comps

ABOUT THE ROLE As the founding data engineer on a marketplace team, you will build the data pipelines and pricing systems that turn inconsistent sold-listing data into reliable comparable sales and estimates. Your work will help ensure users and stakeholders can understand both the price and its confidence. WHAT YOU'LL DO - Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources. - Design entity resolution systems that match inconsistent listing text and images to canonical items. - Develop valuation logic that weighs comparable sales by recency, condition, and the number of available comps. - Monitor data quality to identify drift, fraud, stale comps, and other integrity issues before they affect users. - Partner with computer vision colleagues to define item matching across sources with differing levels of detail. - Make build-versus-buy decisions about data sources, licensing, and third-party pricing feeds. WHAT WE'RE LOOKING FOR - At least 5 years of data engineering experience, including building and owning large-scale production ETL and data pipelines. - Experience working with messy, adversarial data in marketplace, pricing, fraud, or similarly noisy domains. - Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies. - Experience with statistical estimation or pricing models, including basic regression-based comparable-sales logic. - Experience designing entity resolution or record-linkage systems at scale, and production monitoring for data quality, drift, or anomalies. - Experience processing data from multiple external sources, making technical build-versus-buy decisions, and communicating pricing confidence and uncertainty to non-technical stakeholders. - Pricing intelligence, third-party data licensing, or early-stage startup experience is a plus. COMPENSATION & BENEFITS Annual base salary: $160,000 to $220,000. Visa sponsorship is not available. LOCATION Hybrid, New York, New York, United States.