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Clera

Founding Data Engineer, Pricing and Comps

Clera New York, New York, United States · $160K–$220K/yr

Technology, Information and Internet · 11-50 employees

Yesterday
Remote data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will build and own scheduled ingestion pipelines for sold-listing data and design entity resolution systems to match inconsistent listings. Additionally, you will develop valuation logic and monitor data quality to ensure integrity across pricing systems.

What they look for

Data Engineering SQL ETL Data Pipelines Dbt Airflow Dagster Spark Statistical Estimation Pricing Models Regression Entity Resolution Record-linkage Data Quality Monitoring Computer Vision Fraud Detection

Requirements

The role requires at least 5 years of data engineering experience with large-scale production ETL and data pipelines. Candidates must possess strong SQL skills and experience with modern data tools, statistical estimation, and entity resolution systems.

Full description

About the Role

As the founding data engineer on a marketplace team, you will build the data pipelines and pricing systems that turn inconsistent sold-listing data into reliable comparable sales and estimates. Your work will help ensure users and stakeholders can understand both the price and its confidence.

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 weighs comparable sales by recency, condition, and the number of available comps.
  • Monitor data quality to identify drift, fraud, stale comps, and other integrity issues before they affect users.
  • Partner with computer vision colleagues to define item matching across sources with differing levels of 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 building and owning large-scale production ETL and data pipelines.
  • Experience working with messy, adversarial data in marketplace, pricing, fraud, or similarly noisy domains.
  • Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
  • Experience with statistical estimation or pricing models, including basic regression-based comparable-sales logic.
  • Experience designing entity resolution or record-linkage systems at scale, and production monitoring for data quality, drift, or anomalies.
  • Experience processing data from multiple external sources, making technical build-versus-buy decisions, and communicating pricing confidence and uncertainty to non-technical stakeholders.
  • Pricing intelligence, third-party data licensing, or early-stage startup experience is a plus.

Compensation & Benefits

Annual base salary: $160,000 to $220,000. Visa sponsorship is not available.

Location

Hybrid, New York, New York, United States.

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