Founding Data Engineer (Pricing/Comps)

About the Role

What You'll Do

What We're Looking For

Compensation & Benefits

Location

• Hybrid role based in New York, New York.

Qualifications

• At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines.
• Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.
• Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
• Experience with entity resolution or record linkage at scale, and production data quality monitoring.
• Exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
• Experience ingesting data from multiple external sources and making technical build-versus-buy decisions.
• 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.

Responsibilities

• Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
• Develop entity resolution that links inconsistent listing text and images to canonical items.
• Create valuation logic that estimates prices from comparable sales, accounting for recency, condition, and the number of comps.
• Build production monitoring to identify data drift, fraud, stale comparisons, and other quality issues.
• Partner with computer vision teammates to define item matching across sources with varying levels of detail.
• Evaluate build-versus-buy options for data sources, licensing, and third-party pricing feeds.
• At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines.
• Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.
• Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
• Experience with entity resolution or record linkage at scale, and production data quality monitoring.
• Exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
• Experience ingesting data from multiple external sources and making technical build-versus-buy decisions.
• Pricing intelligence, data licensing, and early-stage startup experience are helpful.
• Base salary: $160,000 to $220,000 annually. Visa sponsorship is not available.
• Hybrid role based in New York, New York.