Founding Data Engineer (Pricing/Comps)

• 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.

• 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.

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 Founding-Data-Engineer, Data-Engineer