{"id":3844967,"url":"https://alion.io/job/float-financial-remote-senior-data-engineer","title":"[Remote] Senior Data Engineer","company":{"id":58122,"name":"Float Financial","domain":"float.com","url":"https://alion.io/company/float-financial","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":175000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"dbt","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false}],"status":"closed","first_seen_at":"2026-11-05T23:34:38Z","employer_posted_date":null,"last_verified_at":"2026-11-06T06:36:55Z","board_verified":false,"closed_at":"2026-11-06T06:36:55Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Float builds resource management software for delivery teams. The Senior Data Engineer will own production-grade, ML-ready data pipelines that power Intelligence features, maintain the data warehouse and infrastructure, and help evolve the platform toward event-driven architecture.\n\nResponsibilities\nIntelligence pipeline ownership: You'll take end-to-end ownership of the data pipelines that power NextGen and other Intelligence team features\nApplied ML in production: You'll contribute to AI features in production, building the data infrastructure that makes those features work reliably\nPipeline health and maintenance: Working alongside Davi and Roberto (the Data team), you'll ensure our pipelines and data infrastructure are reliable and well-documented\nEvent-driven architecture: As Float's data needs evolve, you'll play a key role in how we introduce event streaming (Kafka/Debezium) into the stack, and will have the opportunity to contribute to architectural decisions, as well as implementing them\nScheduling optimization work: You'll develop familiarity with Timefold and Float's scheduling domain\nCross-team data impact: Improvements to pipelines and infrastructure tend to ripple outward. Over time, you'll likely have opportunities to improve workflows beyond the Intelligence team\n\nSkills\nYou've shipped at least one ML or AI feature that customers use, and lived with it afterward. Recommendations, embeddings, search, LLM-powered features, or similar\nYou've been on the hook when a pipeline broke. You investigate with evidence (lineage, logs, data samples) rather than guesses, and you understand ELT/ETL, orchestration, backfills, and data quality from the inside out\nYour data work has a visible output in the product. You've built pipelines and models that feed customer-facing features, not just internal tooling or reporting\nYou've written and maintained production-level TypeScript codebases and are comfortable with type systems and debugging\nComplex analytical SQL, with an eye on warehouse cost and performance\nYou design before coding, write tests, and do code reviews\nYou use AI coding tools productively while owning the quality of the output\nYou document as part of the work. Your write-ups stand on their own asynchronously\nFamiliar with dbt and a cloud warehouse (BigQuery or Snowflake). Deep expertise isn't required on day one\nYou have previous remote experience and are comfortable using tools like Slack, Loom, and Linear to communicate as needed\nMongoDB familiarity is a plus\nOptimization and scheduling (Timefold, OR-Tools): Nice to have\nGenuine interest in the problem space matters more than prior experience\n\nBenefits\nFully remote work\n\nCompany Overview\nFloat is is the #1 resource management software for modern delivery teams, founded in 2011 and now trusted by 4,500+ of the world’s leading agencies, consultancies, and in-house studios—including M&C Saatchi, Instrument, Mother, Ogilvy, Google Brand Studio Creative, and Airbnb. It was founded in 2011, and is headquartered in New York, New York, USA, with a workforce of 51-200 employees. Its website is https://www.float.com.","description_format":"text","description_chars":3191,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Procurement & Spend Management"],"lifecycle":[{"event":"open","at":"2026-11-06T00:20:15Z"},{"event":"close","at":"2026-11-06T06:36:55Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":175000,"is_top_pay":true},"html_url":"https://alion.io/job/float-financial-remote-senior-data-engineer","json_url":"https://alion.io/job/float-financial-remote-senior-data-engineer.json","meta":{"generated_at":"2026-11-07T04:21:56Z","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":10668,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":58122},"rest":"https://alion.io/mcp/rest/get_company?id=58122"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffloat-financial-remote-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%2Ffloat-financial-remote-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%2Ffloat-financial-remote-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/float-financial-remote-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffloat-financial-remote-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3844967}},{"tool":"search_jobs","arguments":{"company":"float.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3844967},"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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