Founding Data Engineer (Pricing/Comps)

About the Role Build and own the data foundation behind pricing for an online resale marketplace. You will turn noisy, inconsistent sold-listing data into trustworthy comparable sales and price estimates, partnering closely with the computer vision team to define how items are matched across sources. What You'll Do - Build and operate scheduled ingestion pipelines for sold-listing data from multiple marketplaces and sources. - Develop entity resolution systems that match inconsistent listing text and images to canonical items. - Create valuation logic that weighs factors such as recency, condition, and the number of comparable sales. - Monitor data quality and identify drift, suspected fraud, and stale comparable listings before they affect users. - Work with the computer vision lead to determine what qualifies as the same item across data sources. - Evaluate data sources, licensing options, and third-party pricing feeds, making practical build-versus-buy recommendations. What We're Looking For - At least 5 years of data engineering experience, including building and owning production ETL pipelines at scale. - Experience working with noisy or adversarial data, such as marketplace, pricing, or fraud-related data. - Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies. - Some exposure to statistical estimation or pricing models, including regression-based comparable-sales logic. - Sound judgment around ambiguous data quality tradeoffs and the ability to communicate pricing confidence and uncertainty to non-technical stakeholders. - Experience in pricing intelligence, entity resolution, data licensing, or an early-stage startup is a plus. Compensation & Benefits The salary range is $160,000 to $220,000 USD annually. Location Remote within North America. Originally posted on Himalayas