Founding Data Engineer (Pricing/Comps)
At a glance
Mid-level Data Engineering role at Clera. Remote, United States · full-time · $160,000–$220,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build scheduled pipelines that bring sold-listing information in from multiple marketplaces and other sources
- Match inconsistent listing descriptions and images to standard items, then estimate values from comparable sales
- Account for sale recency, item condition and comparable count when producing pricing estimates
- Monitor production data for drift, fraud, outdated comparisons and other quality problems
- Work with computer vision teammates on cross-source item matching and assess data-source, licensing and pricing-feed options
What you bring
- At least five years in data engineering, including responsibility for large-scale production ETL and pipelines
- Experience handling messy or adversarial marketplace, pricing or fraud data, or comparable noisy data
- Strong SQL skills and experience with tools such as dbt, Airflow or Dagster, plus Spark or similar technology
- Hands-on experience with large-scale entity matching and production data-quality monitoring
- Experience bringing in data from external sources and making build-versus-buy decisions
Who this fits
This role suits a mid-level data engineer who has owned production pipelines and worked with noisy data, matching records or pricing estimates. The position is hybrid in New York, and visa sponsorship is unavailable.
From the employer
About the Role
Join an early-stage internet marketplace company to build the data systems behind reliable pricing estimates. You will turn noisy sold-listing data into trustworthy comparable items and pricing signals, working closely with computer vision partners.
What You'll Do
Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
Develop entity resolution that links inconsistent listing text and images to canonical items.
Create valuation logic that estimates prices from comparable sales, accounting for recency, condition, and the number of comps.
Build production monitoring to identify data drift, fraud, stale comparisons, and other quality issues.
Partner with computer vision teammates to define item matching across sources with varying levels of detail.
Evaluate build-versus-buy options for 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.
Experience working with messy, adversarial data in marketplaces, pricing, fraud, or a similarly noisy domain.
Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
Experience with entity resolution or record linkage at scale, and production data quality monitoring.
Exposure to statistical estimation or pricing models, including regression-based comparable-sales logic.
Experience ingesting data from multiple external sources and making technical build-versus-buy decisions.
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 role based in New York, New York.
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