Staff Data Engineer

Courtyard is a rapidly growing collectibles startup that is transforming the collectibles trading market. They are seeking a Staff Data Engineer to lead the data foundation for their pricing operations, ensuring effective data ingestion, normalization, and warehouse management.

Responsibilities:

• Own external market data ingestion end to end — acquisition, normalization, and delivery into the warehouse
• Own the canonical item model and the entity resolution that maps messy inbound records onto it
• Build quality and monitoring that catches gaps and degradation before a stakeholder notices
• Own the warehouse layer: dbt modeling, tests, and documentation across marketplace, vault, payments, and event data
• Set schema contracts with product engineering so upstream changes break the build, not the metrics
• Serve pricing and ML with reliable training and feature tables
• Set the engineering bar for the data org and level up DS on production-path work

Requirements:

• 5+ years in data engineering with real production pipeline ownership, at senior or staff scope
• Experience taming third-party data at volume — unstable sources, schema drift, no advance notice
• Entity resolution in practice, including the judgment to know when a confident match is wrong
• Deep SQL and Python; production dbt with tests and incremental models you actually maintained
• Strong dimensional modeling — SCD Type 2, incremental loads, backfills, late-arriving data
• Cloud warehouse depth. We run BigQuery and GCP; Redshift, and dbt
• Marketplace or e-commerce data models: orders, payments, refunds, promos, attribution
• Broad enough to navigate backend systems and pair with AI on the hard parts
• Bonus: pricing or valuation systems, LLM-assisted extraction, a real interest in collectibles