At least 5 years of data engineering experience with large-scale ETL and data pipelines.
Experience handling messy data in marketplaces or similar domains.
Strong SQL skills and familiarity with tools like dbt, Airflow, and Spark.
Experience with entity resolution and production data quality monitoring.
Knowledge of statistical estimation or pricing models, particularly regression-based logic.
Experience with data ingestion from multiple sources and making build-versus-buy decisions.
Familiarity with pricing intelligence and early-stage startup environments.
Responsibilities
Build and manage scheduled ingestion pipelines for sold-listing data.
Develop entity resolution to link inconsistent listing text and images.
Create valuation logic for estimating prices based on comparable sales.
Implement production monitoring to detect data drift and quality issues.
Collaborate with computer vision teams to define item matching across varied sources.
Evaluate options for data sourcing, including licensing and third-party feeds.
Benefits
Flexible hybrid work environment in New York City.
Opportunity to work in an early-stage startup with significant impact.
Collaboration with cutting-edge technology partners in computer vision.
Full Job Description
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
