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Open nowPosted 4 hours ago

Founding Data Engineer, Pricing and Comps

Clera308 open roles

Where
New York
Work mode
Remote
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Your applicationOpen nowFounding Data Engineer, Pricing and CompsClera · New York

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The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted 4 hours ago

Clera median: 6 days open

The posting

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.

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