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About the Role
As the founding data engineer on a marketplace team, you will build data pipelines and pricing systems to transform inconsistent sold-listing data into reliable comparable sales and estimates, ensuring users and stakeholders understand price and its confidence.
Responsibilities
- Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
- Design entity resolution systems that match inconsistent listing text and images to canonical items.
- Develop valuation logic that weighs comparable sales by recency, condition, and the number of available comps.
- Monitor data quality to identify drift, fraud, stale comps, and other integrity issues before they affect users.
- Partner with computer vision colleagues to define item matching across sources with differing levels of detail.
- Make build-versus-buy decisions about data sources, licensing, and third-party pricing feeds.
Requirements
- At least 5 years of data engineering experience, including building and owning large-scale production ETL and data pipelines.
- Experience working with messy, adversarial data in marketplace, pricing, fraud, or similarly noisy domains.
- Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
- Experience with statistical estimation or pricing models, including basic regression-based comparable-sales logic.
- Experience designing entity resolution or record-linkage systems at scale, and production monitoring for data quality, drift, or anomalies.
- Experience processing data from multiple external sources, making technical build-versus-buy decisions, and communicating pricing confidence and uncertainty to non-technical stakeholders.
- Pricing intelligence, third-party data licensing, or early-stage startup experience is a plus.
Location
- New York, New York, United States
Work Type
- Hybrid
Experience Level
- 5 years of data engineering experience
Salary/Compensations
- $160,000 to $220,000