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EmploymentFull-time
Work modeRemote / location-flexible
Overview
ABOUT THE ROLE
Full job description
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.
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