Founding Data Engineer, Pricing and Comps

Clera Labs, Inc.; New York (NY); Hybrid; USD 160.000 - 220.000; Vollzeit

Zusammenfassung

Clera Labs, Inc. is building 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 value and confidence of each estimate.

You will own ingestion pipelines, design entity resolution, and develop valuation logic. Collaboration with computer vision and data teams is essential, and you will evaluate data sources and licensing to shape pricing capabilities.

Qualifikationen

• At least 5 years of data engineering experience with 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.

Aufgaben

• 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.

Kenntnisse

SQL

dbt

Airflow

Dagster

Spark

ETL

Data pipelines

Data quality monitoring

Pricing models

Entity resolution

Tools

dbt

Airflow

Dagster

Spark

Jobbeschreibung

About the Role

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.

Compensation & Benefits

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

Location

Hybrid, New York, New York, United States.