Rip digital packs, reveal physical trading cards. Buy and sell Basketball, Baseball, Football, and Pokémon cards graded by PSA, CGC, and BGS. Redeem worldwide. Backed by NEA and Y Combinator.
About the role
Courtyard is hiring a Staff Data Engineer to own the data foundation our pricing runs on. We price and buy back assets in real time off a fragmented external market, and turning that into something a model can safely consume is the data problem here. You'll be the senior-most data engineering voice in a lean data org — owning architecture and standards, not working a ticket queue.
What they're looking for
- 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
More about this role
Courtyard.io is the fastest-growing collectibles startup, ever. We are revolutionizing the world of collectibles trading by enabling instant liquidity and delivering a high-velocity, immersive experience. From trading cards to comics, we're redefining how people discover, collect, and unlock value.
Courtyard is not just another marketplace. All assets are securely vaulted and fully insured, giving collectors peace of mind alongside unmatched speed and simplicity. Whether you're investing, discovering, or curating your dream collection, we've built a platform that's trusted, simple, and built for speed.
And we're just getting started. We're a remote-first company hiring across all functions to push the boundaries of what's possible in collectibles and digital ownership.
Courtyard is hiring a Staff Data Engineer to own the data foundation our pricing runs on. We price and buy back assets in real time off a fragmented external market, and turning that into something a model can safely consume is the data problem here. You'll be the senior-most data engineering voice in a lean data org — owning architecture and standards, not working a ticket queue.
- Own external market data...
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