Founding Data Engineer (Pricing/Comps)

Clera; United States; Remote; USD 160,000 - 220,000; Full time

Job summary

Clera is seeking a Senior Data Engineer to build and own the data foundation behind pricing for a North American remote online resale marketplace. You will transform noisy sold-listing data into trustworthy comparable sales and price estimates, collaborating with the computer vision team to align item matching across sources.

You will design ETL pipelines, develop entity resolution, and create valuation logic considering recency, condition, and comparables, while monitoring data quality and

Qualifications

• 5+ years of data engineering experience building production ETL pipelines.
• Experience with noisy or adversarial data such as marketplace pricing or fraud data.
• Strong SQL and modern data tooling (dbt, Airflow/Dagster, Spark).
• Exposure to statistical estimation or pricing models.
• Ability to communicate pricing confidence and uncertainty to non-technical stakeholders.
• Experience in pricing intelligence or data licensing is a plus.

Responsibilities

• Build and operate ingestion pipelines for sold-listing data from multiple marketplaces.
• Develop entity resolution to match listings across sources.
• Create valuation logic weighing recency, condition, and comparable sales.
• Monitor data quality and detect drift, fraud, or stale listings.
• Collaborate with computer vision to define item matching across sources.
• Evaluate data sources and pricing feeds, with build-versus-buy recommendations.

Skills

Data engineering

SQL

Adversarial data handling

Pricing context knowledge

Communication with stakeholders

Tools

dbt

Airflow

Dagster

Spark

Job description

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.