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
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Build and operate scheduled ingestion pipelines for sold-listing data from multiple marketplaces and sources.
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Develop entity resolution systems that match inconsistent listing text and images to canonical items.
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Create valuation logic that weighs factors such as recency, condition, and the number of comparable sales.
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Monitor data quality and identify drift, suspected fraud, and stale comparable listings before they affect users.
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Work with the computer vision lead to determine what qualifies as the same item across data sources.
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Evaluate data sources, licensing options, and third-party pricing feeds, making practical build-versus-buy recommendations.
What We're Looking For
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At least 5 years of data engineering experience, including building and owning production ETL pipelines at scale.
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Experience working with noisy or adversarial data, such as marketplace, pricing, or fraud-related data.
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Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
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Some exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
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Sound judgment around ambiguous data quality tradeoffs and the ability to communicate pricing confidence and uncertainty to non-technical stakeholders.
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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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