{"id":3720447,"url":"https://alion.io/job/muxhq-senior-data-engineer","title":"Senior Data Engineer","company":{"id":14992,"name":"muxhq","domain":"mux.com","url":"https://alion.io/company/muxhq","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","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":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["New York, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":190000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fastly","optional":false},{"name":"FinOps","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"LookML","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"video.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-03T21:57:56Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T22:17:49Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About Mux\nMux is video for developers and their agents. We handle the hard problems of video, like encoding, streaming, delivery, and monitoring, along with the hard problem of understanding it: turning raw footage into context, structure, and answers. Video is a huge part of people’s lives, and we want to help make it not just playable, but understandable.\nWe’re committed to building a healthy team that welcomes a diverse range of backgrounds and experiences. We want people who care about our mission, are ready to grow, believe in our values (from Be Human to Turn Customers Into Fans), and want to make the people around them better.\nYou’ll be joining a tight-knit team with experience at places like Google, YouTube, Twitch, Zencoder, Fastly, and more. Our founders previously started (and sold) Zencoder, an early leader in cloud video technology, and authored Video.js, the biggest HTML5 video player on the web. We organize Demuxed, the premiere conference for video engineers in the world.\nWe’re backed by top investors like Coatue, Accel, Andreessen Horowitz, and Y Combinator. You’ll get to work with amazing companies: hundreds of startups, plus Patreon, Substack, Synthesia, and HubSpot. Customers large and small love working with us and love our team.\nWe are building something big together. We’d love to hear from you!\nAbout the Role\nMux makes video easy for developers. Our APIs handle encoding, streaming, playback and analytics for companies like Patreon, Substack and Robinhood.\nWe're changing how Mux uses its own data. We're not building more dashboards. We're building semantic models that are clean, tested and well documented, and putting AI agents on top of them so anyone at Mux can ask a question in Slack and get a correct answer. Agents on top of bad data just give confident wrong answers faster. So this role is fundamentally a data engineering role: the warehouse, the pipelines and the dbt models have to be right before any of the AI work is worth anything.\nAs a Senior Data Engineer on the Analytics team, you'll own the Mux data stack end to end, from ingestion through Snowflake and dbt to the semantic layer the agents query. The team is small, so you'll have a broad scope and your work will be visible. You'll also be expected to use AI tools heavily in your own work, and to help decide where they belong in the data stack and where they don't.\nThis role is a fit if you want to build the foundation an AI-native analytics function runs on, and you'd rather delete a model than add another one.\nWhat You'll Do\nOwn the Data Platform End to End\nOwn the Mux data warehouse (Snowflake), the ingestion layer and the transformation layer (dbt): architecture, administration, permissions, CI/CD, cost, ingestion standards and data quality\n\nBuild and maintain ingestion from production systems and business tools (Fivetran or equivalent) into the warehouse, and keep it in sync as the product changes\n\nRun the platform day to day: orchestration, deployments, environment management, and incident response when something breaks\n\nPush curated data back out to business systems like Salesforce, NetSuite and HubSpot\n\nSemantic Models and Agents\nBuild the semantic models and data foundation behind the agents people at Mux use to answer business questions\n\nHelp measure whether those agents give correct answers\n\nData Quality and Reliability\nKeep the data accurate, tested and simple: move logic upstream, enforce contracts, and add observability\n\nPay down tech debt as you go and leave the codebase simpler than you found it\n\nWork AI-Forward\nUse coding agents (e.g. Claude Code, Cursor) as a normal part of building, testing and refactoring pipelines and dbt models\n\nLook for places where agents and automation can replace manual data work, and build them\n\nSet standards for how AI tools touch production data: access, review, and what has to be verified by a human\n\nCross-Functional Partnership\nWork with Engineering on how data is produced, changed and retired at the source\n\nPartner with Finance, FinOps, Product and GTM to understand the questions they need answered and decide which models get built first\n\nWork in engineering-style cycle planning with clear goals, commitments and status updates\n\nWho You Are\nRequired Qualifications\n5+ years of data engineering experience, with a strong software engineering foundation\n\nYou have built and run a data stack end to end in production. That means ingestion, warehouse, transformation, orchestration, and keeping it running after launch, not just one layer of it\n\nDeep hands-on dbt experience: model design, testing, macros, CI, and refactoring a large, messy project into something maintainable\n\nHands-on experience administering a cloud data warehouse (Snowflake preferred; BigQuery or Databricks considered), including permissions, performance tuning and cost management\n\nData contracts, data observability tooling (e.g. Metaplane, Monte Carlo, Elementary)\n\nExpert SQL and strong data modeling skills (dimensional modeling, grain, slowly changing dimensions)\n\nStrong Python for pipelines, automation and tooling\n\nExperience with managed ingestion tools (e.g. Fivetran, Airbyte) and comfort working in AWS or GCP\n\nReal day-to-day use of AI coding tools, plus a clear sense of where they help and where they get things wrong\n\nA working foundation in analysis and statistics: you can take a business question, pull the data, sanity-check it, and present a clear answer without handing it off\n\nYou care about data quality and governance, and build things to last\n\nBonus\nExperience building semantic layers (dbt Semantic Layer / MetricFlow, Cube, Omni, LookML or similar)\n\nExperience building or integrating LLM agents over structured data: text-to-SQL, MCP servers, retrieval over metric definitions\n\nExperience designing evals for LLM output quality\n\nData science experience: forecasting, regression, cohort or churn modeling, experiment analysis\n\nExperience running other data platforms beyond the warehouse, such as vector databases, time-series databases, ACID-compliant transactional databases, streaming systems (Kafka, Kinesis), and caches like Redis\n\nReverse ETL into Salesforce, NetSuite or HubSpot\n\nFinance data experience: revenue, billing, COGS, cloud cost allocation\n\nExperience in developer tools, API-first or infrastructure companies; video streaming or CDN background is a plus\n\nExperience at a smaller company where you owned a broad scope\n\nWhat Makes You Successful\nYou're equally comfortable debugging a Snowflake warehouse bill and writing a dbt test\n\nYou think correct data matters more than clever AI, and you know the agent work only pays off once the data is right\n\nYou use AI to go faster and still verify the output\n\nYou see tech debt as something to remove, and you leave every codebase simpler than you found it\n\nYou take ownership of problems end to end, from root cause to fix to validation\n\nYou balance perfectionism with pragmatism: ship something good, then iterate\n\nYou build strong relationships across functions and can explain technical tradeoffs to non-technical people If you don't have all of these requirements but think your experience could be a great fit, that's okay! Please apply and we can talk about what's most needed in the role\n\nWe have a supportive culture that cares about both excellent work and work-life balance. We have office spaces in Downtown San Francisco, New York City, and London\nU.S. Benefits\nFlexible vacation + 11 company holidays\n\nWeekly no-meeting days + quarterly focus weeks\n\nCompetitive health, dental, and vision insurance, including fertility\n\nFSA and HSA available\n\nShort-term and long-term disability insurance\n\nGroup life insurance\n\nTravel accident insurance\n\n401(k)\n\nPaid parental leave\n\nProfessional Development program\n\nLunch, internet, & ancillary equipment reimbursements\n\nUK Benefits\nCompetitive annual leave policy (25 days annual leave plus 8 public holidays)\n\nWeekly no-meeting days + quarterly focus weeks\n\nPrivate medical and dental insurance, and a vision stipend, including fertility\n\nShort-term and long-term disability insurance\n\nGroup life assurance\n\nTravel accident insurance\n\nMatched Pension\n\nPaid parental leave\n\nProfessional development program\n\nTeam social events\n\nLunch, cafe, & ancillary equipment reimbursements Mux is an Equal Opportunity employer committed to building a diverse company. We believe diversity makes us better, and we strive to be inclusive and equitable. That’s why we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.","description_format":"text","description_chars":8636,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Dental insurance","Life insurance","Parental leave","Professional development","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"New York","iso":null,"kind":"city"},{"name":"San Francisco","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","Video & Photo Sharing"],"lifecycle":[{"event":"open","at":"2026-11-04T02:26:18Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":35,"reasons":["conf:3","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":{"stated_usd_annual":220000,"is_top_pay":true},"html_url":"https://alion.io/job/muxhq-senior-data-engineer","json_url":"https://alion.io/job/muxhq-senior-data-engineer.json","meta":{"generated_at":"2026-11-07T22:36:52Z","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":37272,"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":14992},"rest":"https://alion.io/mcp/rest/get_company?id=14992"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmuxhq-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%2Fmuxhq-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%2Fmuxhq-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/muxhq-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmuxhq-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3720447}},{"tool":"search_jobs","arguments":{"company":"mux.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3720447},"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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