Founding Data Engineer, Pricing and Comps
✨ AI Summary
Clera, an early-stage internet marketplace, is hiring a Founding Data Engineer to build pricing and comps data foundations. The role requires 5+ years of experience in data engineering, with a focus on ETL pipelines, entity resolution, and statistical pricing models using SQL, dbt, Airflow, and Spark. Compensation is $160,000 to $220,000 annually with a hybrid work policy in New York, and no visa sponsorship is offered.
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 Company
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