About the Role
Build the data foundation for pricing in an early-stage internet marketplace. You will turn noisy sold-listing data into reliable comparable items and price estimates, helping users and investors understand both the value and confidence of each estimate.
What You’ll Do

• 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 weights comparable listings by recency, condition, and quantity.

• Create production monitoring to detect data drift, fraud, stale comparisons, and integrity issues.

• Partner with computer vision teammates to define how items are matched across sources with varying detail.

• Make build-versus-buy decisions about 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.

• Strong SQL skills and experience with a modern data stack such as dbt, Airflow or Dagster, and Spark or similar tools.

• Experience working with noisy or adversarial data in marketplaces, pricing, fraud, or a related domain.

• Experience with statistical estimation or pricing models, including regression-based comparable sales logic.

• Experience building entity resolution or record-matching systems at scale, plus production data quality monitoring.

• Ability to make sound data quality tradeoffs and explain pricing confidence and uncertainty to non-technical stakeholders.

• Experience processing data from multiple external sources and evaluating data products or integrations is valuable.

• 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, New York, New York, United States.

About the Role
Build the data foundation for pricing in an early-stage internet marketplace. You will turn noisy sold-listing data into reliable comparable items and price estimates, helping users and investors understand both the value and confidence of each estimate.
What You’ll Do

• 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 weights comparable listings by recency, condition, and quantity.

• Create production monitoring to detect data drift, fraud, stale comparisons, and integrity issues.

• Partner with computer vision teammates to define how items are matched across sources with varying detail.

• Make build-versus-buy decisions about 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.

• Strong SQL skills and experience with a modern data stack such as dbt, Airflow or Dagster, and Spark or similar tools.

• Experience working with noisy or adversarial data in marketplaces, pricing, fraud, or a related domain.

• Experience with statistical estimation or pricing models, including regression-based comparable sales logic.

• Experience building entity resolution or record-matching systems at scale, plus production data quality monitoring.

• Ability to make sound data quality tradeoffs and explain pricing confidence and uncertainty to non-technical stakeholders.

• Experience processing data from multiple external sources and evaluating data products or integrations is valuable.

• 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, New York, New York, United States.