Founding Data Engineer (Pricing/Comps)

Department: Engineering

Location: remote

Employment Type: FullTime

About the Role

As the Founding Data Engineer, you will build the data foundation behind reliable pricing for an online marketplace. You will turn inconsistent, noisy sold-listing data into trustworthy comparable items and price estimates, partnering closely with the computer vision lead on matching items across sources.

What Youll Do

• Build and own scheduled, scalable ingestion pipelines for sold-listing data from multiple marketplaces and external sources.

• Design entity resolution logic to match inconsistent listing text and images to canonical items.

• Develop valuation logic that accounts for recency, condition, and the number and quality of comparable listings.

• Create production data quality monitoring to detect drift, fraud, anomalies, and stale or unreliable listings.

• Work with the computer vision lead to define item-matching standards across sources with differing levels of detail.

• Make build-versus-buy decisions about data sources, licensing, and third-party pricing feeds.

What Were Looking For

• At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines.

• Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.

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

• Experience with statistical estimation or pricing models, including regression-based comparable-item logic.

• Experience with entity resolution or record linkage at scale, and production data quality monitoring.

• Comfort making ambiguous data quality tradeoffs and communicating pricing confidence and uncertainty to non-technical stakeholders.

• Pricing intelligence, data licensing, or early-stage startup experience is a plus.

Compensation & Benefits

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

Location

Remote, United States and North America.