{"id":44085,"url":"https://alion.io/job/triumph-senior-data-engineer","title":"Senior Data Engineer","company":{"id":3823995,"name":"Triumph","domain":"triumphlabs.com","url":"https://alion.io/company/triumphlabs","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":24,"ghost_share":0.042,"stale_share":0.417,"repost_share":0.083,"time_to_fill_p50_days":null,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":400000,"currency":"USD","period":"year","gross":null,"usd_annual":400000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Flink","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-03-12T17:26:23Z","employer_posted_date":"2026-03-12","last_verified_at":"2026-10-31T02:05:24Z","board_verified":true,"closed_at":null,"days_open":232,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":230},"description":"The Role\nAs our first dedicated data engineering hire, you'll own the full data stack: ingestion, transformation, warehouse architecture, pipeline reliability, and the systems that connect model outputs back to production. You'll work at the intersection of a quantitative strategy team and a fast-moving engineering org, building the foundation that both depend on.\nWhat You'll Do\nArchitect and own the data warehouse. Design and optimize our BigQuery environment for performance, cost, and reliability as data volumes scale with user growth.\n\nBuild and maintain transformation layers. Own our dbt project end-to-end, including models, testing, documentation, and CI/CD, turning raw event streams into clean, trusted datasets.\n\nPipeline orchestration. Build and manage robust data pipelines with proper orchestration, monitoring, alerting, and failure recovery. Nothing should break silently.\n\nReal-time data systems. Design and implement streaming infrastructure for use cases where batch processing falls short: live game economics, real-time risk signals, and in session player behavior.\n\nReverse ETL and production integration. Close the loop between model outputs and the product by getting scores, segments, and predictions back into production systems where they drive real decisions.\n\nData quality and reliability. Build the testing, validation, and monitoring frameworks that let a small team trust the data at scale.\n\nPartner with DS and engineering. You'll sit between two teams that move fast and need different things from the data layer. Translate between them and make both more productive.\n\nQualifications\nStrong software engineering fundamentals. You write clean, maintainable, well-tested code.\n\nDeep experience with SQL and Python in production data contexts.\n\nHands-on experience with data warehousing (BigQuery, Snowflake, Redshift, or similar) and transformation frameworks (dbt strongly preferred).\n\nExperience building and operating data pipelines with orchestration tooling (Airflow, Dagster, Prefect, or similar).\n\nUnderstanding of data modeling patterns (dimensional modeling, slowly changing dimensions, incremental materialization).\n\nAbility to work independently and make sound architectural decisions. You'll have a lot of autonomy and you need to use it well.\n\nPreferred\nExperience with streaming/real-time data systems (Kafka, Pub/Sub, Flink, or similar).\n\nFamiliarity with analytics engineering and the modern data stack (Fivetran, Statsig, or similar tools).\n\nExposure to quantitative or financial data environments where correctness and latency matter.\n\nExperience being an early or first data engineering hire. You've built from zero before and know what to prioritize.\n\nWhy This Role\nYou'd be building and owning the entire data engineering function at a hypergrowth consumer startup where data runs through every layer of the business. Every product decision, every dollar of revenue, and every player interaction flows through the stack you'll build. You'll set the architecture, choose the tooling, define the standards, and see your work become load-bearing infrastructure from day one. If you want to build something from scratch at a company that lives and breathes data, this is a rare opportunity\nWhy Triumph?\nHigh growth. Build a high-scale consumer platform that touches gaming, finance, and social with the autonomy to set our web direction.\n\nHigh agency. Small, high-impact engineering team that is growing rapidly with significant opportunity for leadership and growth.\n\nHigh energy. Passionate team who are proud of our work and velocity (16x year over year growth).\n\nCompetitive salary and benefits. $400/mo lunch credit, healthcare, vision, dental, 401k, etc.\n\nOur team gathers 5 days a week at Triumph’s headquarters at Levi’s Plaza in San Francisco.","description_format":"text","description_chars":3806,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-03-12T17:26:23Z"},{"event":"reopen","at":"2026-10-26T10:16:15Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":212500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.399,"p_room":0.28,"age_days":231,"expected_fill_days":27,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-30T05:48:23Z"},"pay":{"stated_usd_annual":400000,"is_top_pay":true},"html_url":"https://alion.io/job/triumph-senior-data-engineer","json_url":"https://alion.io/job/triumph-senior-data-engineer.json","meta":{"generated_at":"2026-10-31T03:46:50Z","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":5316,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":3823995},"rest":"https://alion.io/mcp/rest/get_company?id=3823995"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftriumph-senior-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%2Ftriumph-senior-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%2Ftriumph-senior-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/triumph-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftriumph-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":44085}},{"tool":"search_jobs","arguments":{"company":"triumphlabs.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":44085},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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