About the Role
Join an early-stage internet marketplace company to build the data systems behind reliable pricing estimates. You will turn noisy sold-listing data into trustworthy comparable items and pricing signals, working closely with computer vision partners.
What You'll Do
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Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
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Develop entity resolution that links inconsistent listing text and images to canonical items.
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Create valuation logic that estimates prices from comparable sales, accounting for recency, condition, and the number of comps.
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Build production monitoring to identify data drift, fraud, stale comparisons, and other quality issues.
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Partner with computer vision teammates to define item matching across sources with varying levels of detail.
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Evaluate build-versus-buy options for data sources, licensing, and third-party pricing feeds.
What We're Looking For
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At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines.
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Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.
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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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Experience with entity resolution or record linkage at scale, and production data quality monitoring.
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Exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
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Experience ingesting data from multiple external sources and making technical build-versus-buy decisions.
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Pricing intelligence, data licensing, and early-stage startup experience are helpful.
Compensation & Benefits
Base salary: $160,000 to $220,000 annually. Visa sponsorship is not available.
Location
Hybrid role based in New York, New York.
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