{"id":56343,"url":"https://alion.io/job/courtyard-staff-data-engineer","title":"Staff Data Engineer, ML Platform","company":{"id":17582,"name":"Courtyard","domain":"courtyard.io","url":"https://alion.io/company/courtyard","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":10,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":161000,"max_usd":276000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":104},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-06T19:28:02Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-17T05:36:14Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":71},"description":"About Courtyard\nCourtyard.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.\nCourtyard 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.\nAnd 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.\nJob Summary\nCourtyard is hiring a Staff Data Engineer to own the data foundation our pricing and ML run on, from raw external market data all the way to models making decisions in production. We price and buy back assets in real time off a fragmented external market. Turning that into something a model can safely consume, and keeping the model healthy once it's live, is the hardest data problem here. You'll be the senior-most data engineering voice in a lean data org and the person who gets data science work from notebook to production. You'll own architecture and standards rather than a ticket queue.\nWhat You'll Do\nOwn external market data ingestion end to end - acquisition, normalization, and delivery into the warehouse\nOwn the canonical item model and the entity resolution that maps messy inbound records onto it\nBuild quality and monitoring that catches gaps and degradation before a stakeholder notices\nOwn the warehouse layer (dbt modeling, tests, documentation) and set schema contracts with product engineering so upstream changes break the build, not the metrics\nBuild the feature and training data layer: point-in-time correct, reproducible, and consistent between training and serving\nPartner with data scientists to take models from prototype to production - batch and real-time scoring, versioning, CI/CD, and safe rollout and rollback\nOwn model observability - input drift, prediction quality, and retraining triggers - so a degrading model gets caught by an alert, not by a bad decision\nProductionize LLM-assisted pipelines where they earn their keep, with evaluation and cost controls built in\nSet the engineering bar for the data org and level up DS on production-path work\nWhat We're Looking For\n7+ years across data engineering, ML engineering, or ML platform work with real production ownership, at senior or staff scope\nExperience taming third-party data at volume - unstable sources, schema drift, no advance notice\nEntity resolution in practice, including the judgment to know when a confident match is wrong\nYou've shipped ML to production alongside data scientists: built the feature pipelines, deployment path, and monitoring for models that served live decisions, not just handed off a table\nFluency in where ML breaks in the data: leakage, point-in-time joins, train/serve skew, drift\nDeep SQL and Python; production dbt with tests and incremental models you actually maintained\nStrong dimensional modeling - SCD Type 2, incremental loads, backfills, late-arriving data\nCloud warehouse depth. We run BigQuery and GCP; \nComfortable with orchestration, containers, and CI/CD - you can get a service deployed and keep it observable without being an infrastructure specialist\nClear communicator with strong ownership instincts - you say what you'll own, what you won't, and by when\nBonus: feature store or model registry experience; LLM evaluation and cost management; pricing or valuation systems; a real interest in trading cards and collectibles\nWhat You'll Get In Return\nA dynamic and engaging environment focused on fostering real growth and innovation\nOpportunities to create amazing products that our customers truly love and value\nComprehensive health insurance packages with dependent coverage\nCompetitive salary with ample opportunities for career advancement and development\nEnjoy the flexibility of a fully remote work environment\n401(k) plan with a 4% employer match to help you plan for the future\n$100 monthly dogfooding stipend to support trying out our products firsthand\nAccess to employee wellness programs designed to support your overall well-being","description_format":"text","description_chars":4400,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","Collectibles & Trading Cards"],"lifecycle":[{"event":"open","at":"2026-08-06T19:28:02Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.339,"p_room":0.28,"age_days":71,"expected_fill_days":26,"reasons":["conf:0","stale_co","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/courtyard-staff-data-engineer","json_url":"https://alion.io/job/courtyard-staff-data-engineer.json","meta":{"generated_at":"2026-10-17T07:42:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10407,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":17582},"rest":"https://alion.io/mcp/rest/get_company?id=17582"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcourtyard-staff-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcourtyard-staff-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcourtyard-staff-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/courtyard-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcourtyard-staff-data-engineer"}]}