Founding Data Engineer (Pricing/Comps)

This is an opportunity to establish the data engineering foundation behind reliable pricing for an online marketplace. You will transform inconsistent, noisy sales-listing data from multiple sources into trustworthy comparable items and accurate price estimates. As a founding member of the data engineering function, you will design and own scalable ingestion pipelines, develop entity resolution systems, and build robust valuation logic. Your work will directly influence pricing accuracy, marketplace trust, and the quality of data-driven decisions. You will collaborate closely with computer vision specialists to improve item matching across sources with varying levels of detail. This role is ideal for an experienced data engineer who enjoys solving ambiguous problems, building production-grade systems from the ground up, and shaping data strategy in an early-stage environment.

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

• Experience handling messy, inconsistent, or adversarial data in marketplaces, pricing, fraud detection, or similarly complex data environments.

• Strong SQL skills and hands-on experience with modern data engineering tools such as dbt, Airflow, Dagster, Spark, or comparable technologies.

• Experience with statistical estimation and pricing models, including regression-based approaches to identifying comparable items and estimating value.

• Demonstrated experience with entity resolution, record linkage at scale, and production data quality monitoring.

• Strong analytical and problem-solving skills, with the ability to make sound decisions when data is incomplete, ambiguous, or unreliable.

• Excellent communication skills and the ability to explain pricing confidence, uncertainty, and technical trade-offs to non-technical stakeholders.

• Familiarity with pricing intelligence, data licensing, or early-stage startup environments is a plus.