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Open nowPosted 6 hours ago

Senior Data Engineer, Pricing and Comps

Clera268 open roles

Where
San Francisco
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On site
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Your applicationOpen nowSenior Data Engineer, Pricing and CompsClera · San Francisco

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 6 hours ago

Clera median: 3 days open

The posting

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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