Founding Data Engineer, Pricing and Comps

Clera · posted 4 days ago

Open to candidates in United States

$160k–$220k · Full-time · Senior

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What this job asks for

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Must have

•5+ years data engineering experience
•Build and own ETL/data pipelines
•Experience with messy/adversarial data
•Strong SQL skills
•Experience with modern data tools (dbt, Airflow, Spark)
•Experience designing entity resolution systems

Nice to have

•Pricing intelligence experience
•Third-party data licensing experience
•Early-stage startup experience

Tools and technologies

dbt, Airflow, Dagster, Spark

Worth checking before you apply

Visa sponsorship is not available

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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.