Founding Data Engineer (Pricing/Comps)

About the Role

Build and own the data foundation behind pricing for an online resale marketplace. You will turn noisy, inconsistent sold-listing data into trustworthy comparable sales and price estimates, partnering closely with the computer vision team to define how items are matched across sources.

What You'll Do

• Build and operate scheduled ingestion pipelines for sold-listing data from multiple marketplaces and sources.

• Develop entity resolution systems that match inconsistent listing text and images to canonical items.

• Create valuation logic that weighs factors such as recency, condition, and the number of comparable sales.

• Monitor data quality and identify drift, suspected fraud, and stale comparable listings before they affect users.

• Work with the computer vision lead to determine what qualifies as the same item across data sources.

• Evaluate data sources, licensing options, and third-party pricing feeds, making practical build-versus-buy recommendations.

What We're Looking For

• At least 5 years of data engineering experience, including building and owning production ETL pipelines at scale.

• Experience working with noisy or adversarial data, such as marketplace, pricing, or fraud-related data.

• Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.

• Some exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.

• Sound judgment around ambiguous data quality tradeoffs and the ability to communicate pricing confidence and uncertainty to non-technical stakeholders.

• Experience in pricing intelligence, entity resolution, data licensing, or an early-stage startup is a plus.

Compensation & Benefits

The salary range is $160,000 to $220,000 USD annually.

Location

Remote within North America.

Originally posted on Himalayas