# Founding Data Engineer, Pricing and Comps at Clera

Founding Data Engineer, Pricing and Comps at Clera in New York. Remote, full-time, paying $160k–$220k. Posted October 28, 2026.

- Company: Clera
- Location: New York
- Workplace: Remote
- Job type: Full-time
- Pay: $160k–$220k
- Experience: 5+ years
- Posted: 2026-10-28
- Apply: https://jobs.ashbyhq.com/clera/ff455274-d897-4f6c-887e-c23da3f571dd/application
- Source: https://jobmagic.ai/jobs/founding-data-engineer-pricing-and-comps-clera-rakakd

## Requirements

- 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.

## Description

### 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.