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Clera

Senior Data Engineer, Pricing and Comps

Clera San Francisco, California, United States · $160K–$220K/yr

Technology, Information and Internet · 11-50 employees

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

Build and maintain large-scale ingestion pipelines for sold-listing data while designing entity resolution and deduplication systems. Collaborate with computer vision teams to establish matching standards and develop valuation logic for pricing accuracy.

What they look for

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

Requirements

Requires at least 5 years of data engineering experience with production ownership of large-scale ETL and data pipelines. Candidates must possess strong SQL skills and experience with modern data tools like Spark, Airflow, or dbt.

Full description

About the Role

Build and own the data systems that turn messy sold-listing information into reliable comparable sales and price estimates. This role is central to the trustworthiness of pricing in a consumer resale marketplace, and you'll partner with computer vision teammates to define how items are matched across sources.

What You'll Do

  • Build and maintain scheduled, large-scale ingestion pipelines for sold-listing data from multiple sources.
  • Design entity resolution and deduplication systems that match inconsistent text and images to canonical items.
  • Develop valuation logic that weighs comparable sales by recency, condition, and sample size.
  • Create data quality monitoring to identify drift, potential fraud, and stale or unreliable comparisons.
  • Collaborate with computer vision partners on matching standards across data 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 production ownership of large-scale ETL and data pipelines.
  • Experience working with messy, adversarial data in a marketplace, pricing, fraud, or similarly noisy domain.
  • Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
  • Exposure to statistical estimation or pricing models, including basic regression-based comparable sales logic.
  • Experience building data quality monitoring and large-scale entity resolution or record-linkage systems.
  • Sound judgment on data quality tradeoffs, third-party data sources, and licensing decisions, plus the ability to explain pricing confidence and uncertainty to non-technical partners.
  • Experience in pricing intelligence, real estate valuation, used-vehicle pricing, resale marketplaces, or early-stage startups is a plus.

Compensation & Benefits

Annual salary range: $160,000 to $220,000 USD.

Location

On-site in San Francisco, California, United States.

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