Founding Data Engineer, Pricing and Comps
Apache Airflow
Big Data
Bigdata
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science
Data Transforms
Data Warehouse
Database
Databases
Entity Resolution
ETL
Informatica
Integration
Spark
SQL
Job Description
Clera is building a marketplace team focused on turning inconsistent sold-listing information into dependable comparable sales and pricing estimates. As a founding data engineer, you will design and operate the data pipelines and pricing systems that power valuation, entity resolution, and data quality monitoring, so users and stakeholders can trust pricing confidence.
Role Overview
This position concentrates on valuation logic, entity resolution, and ongoing integrity checks for data used in pricing. The work includes scheduled ingestion from multiple marketplaces and external sources, matching items across differing representations, and monitoring for drift, fraud signals, and stale comparable sales that could affect outcomes.
Key Responsibilities
- Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources.
- Design entity resolution systems to match inconsistent listing text and images to canonical items.
- Develop valuation logic that accounts for comparable sales recency, condition, and the number of available comps.
- Monitor data quality to detect drift, fraud, stale comps, and other integrity issues before they reach users.
- Partner with computer vision colleagues to define item matching across sources with varying levels of detail.
- Make build-versus-buy decisions related to data sources, data licensing, and third-party pricing feeds.
Required Qualifications
- At least 5 years of data engineering experience, including building and owning large-scale production ETL and data pipelines.
- Experience working with messy, adversarial data in marketplace, pricing, fraud, or similarly noisy domains.
- Strong SQL skills and experience with modern data tools such as dbt, Airflow or Dagster, and Spark or similar technologies.
- Experience with statistical estimation or pricing models, including regression-based comparable-sales logic.
- Experience designing entity resolution / record-linkage systems at scale and production monitoring for data quality, drift, or anomalies.
- Experience processing data from multiple external sources, making technical build-versus-buy decisions, and communicating pricing confidence and uncertainty to non-technical stakeholders.
Technology Stack
- SQL, dbt, Airflow, Dagster, Spark
Compensation and Location
- Salary: USD 160,000 - 220,000 per year
- Location: New York, NY, United States (hybrid)
- Visa sponsorship: not available
Additional Preferences
- Pricing intelligence, third-party data licensing, or early-stage startup experience
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