Founding Data Engineer, Pricing and Comps

Royper Royco LLC; United States; Hybrid; USD 160.000 - 220.000; Vollzeit

Zusammenfassung

Royper Royco LLC is seeking a Senior Data Engineer to build data foundations for pricing in an early-stage internet marketplace. You will turn noisy sold-listing data into reliable comparable items and price estimates, enabling users and investors to understand value and confidence.

Responsibilities include building ingestion pipelines, designing entity resolution, and developing valuation logic with production monitoring for data integrity.

Qualifikationen

• 5+ years of data engineering experience and ownership of large-scale production ETL/data pipelines.
• Strong SQL skills and experience with modern data stack (dbt, Airflow/Dagster, Spark).
• Experience with noisy or adversarial data in marketplaces, pricing, fraud, or related domain.
• Experience with pricing models and regression-based comparable sales logic.
• Experience building entity resolution/record-matching systems at scale and production data quality monitoring.

Aufgaben

• Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
• Design entity resolution systems matching listing text/images to canonical items.
• Develop valuation logic weighting comparable listings by recency, condition, and quantity.
• Create production monitoring to detect data drift, fraud, and integrity issues.
• Partner with computer vision teammates to define item matching across sources.
• Make build-versus-buy decisions about data sources, licensing, and third-party feeds.

Kenntnisse

Data engineering

SQL

ETL pipelines

Data quality monitoring

Entity resolution

Pricing models

Statistical estimation

Communication with stakeholders

Tools

dbt

Airflow

Dagster

Spark

Jobbeschreibung

Build the data foundation for pricing in an early-stage internet marketplace. You will turn noisy sold-listing data into reliable comparable items and price estimates, helping users and investors understand both the value and confidence of each estimate.

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 weights comparable listings by recency, condition, and quantity.
• Create production monitoring to detect data drift, fraud, stale comparisons, and integrity issues.
• Partner with computer vision teammates to define how items are matched across sources with varying 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 ownership of large-scale production ETL and data pipelines.
• Strong SQL skills and experience with a modern data stack such as dbt, Airflow or Dagster, and Spark or similar tools.
• Experience working with noisy or adversarial data in marketplaces, pricing, fraud, or a related domain.
• Experience with statistical estimation or pricing models, including regression-based comparable sales logic.
• Experience building entity resolution or record-matching systems at scale, plus production data quality monitoring.
• Ability to make sound data quality tradeoffs and explain pricing confidence and uncertainty to non-technical stakeholders.
• Experience processing data from multiple external sources and evaluating data products or integrations is valuable.
• Pricing intelligence, data licensing, and early-stage startup experience are helpful.

Base salary: $160,000 to $220,000 annually. Visa sponsorship is not available.

Location

Hybrid, New York, New York, United States.