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

• 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.

What We're Looking For

• 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.