{"id":3275353,"url":"https://alion.io/job/bags-staff-data-engineer","title":"Staff Data Engineer","company":{"id":1965675,"name":"Bags","domain":"bags.fm","url":"https://alion.io/company/bags-fm","size_band":null,"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":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":151000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":465},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"dbt","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Dagster","optional":true},{"name":"Looker","optional":true}],"status":"live","first_seen_at":"2026-08-18T02:21:57Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-28T13:05:56Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Who Are We\nBags.fm is the development company that builds and operates the entire technology stack behind bags.fm, the leading launchpad for new projects and ideas. The systems are low latency, high throughput, live under constant load, and break if you get them wrong.\nWhat You'll Do\nAs a Data Engineer, you will play a critical role in building and scaling our real-time data infrastructure at the forefront of crypto and social finance. You'll work on high-throughput data pipelines, analytics systems, and storage solutions in an environment where speed, ownership, and innovation are paramount.\nArchitect, build, and ship high-performance data solutions at speed, contributing directly to the growth of the world's largest crypto social network\n\nWork across the data stack, from streaming pipelines, data modelling, analytics databases, and real-time processing systems\n\nRapidly prototype and iterate on new data features, balancing speed with quality in a fast-moving environment\n\nSolve complex technical challenges around data consistency, performance, and scale in a space where innovation and efficiency are the upmost priority\n\nCollaborate closely with a world-class team of engineers and product leaders to push boundaries and redefine what's possible\n\nTake full ownership of your work, from initial concept to production deployment and maintenance\n\nWho You Are\nYou’re experienced building and scaling data platforms, with deep expertise in data engineering, distributed systems, and modern cloud infrastructure.\n\nYou're fluent in SQL and Python, and have hands-on experience with technologies such as Spark, Kafka, Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar large-scale data ecosystems.\n\nYou have designed and operated reliable batch and real-time data pipelines that process high volumes of data with a strong focus on quality, observability, and performance.\n\nYou think like an engineer first-you care about building robust, maintainable systems rather than simply moving data from A to B.\n\nYou have experience modeling complex datasets and enabling analytics, machine learning, or product teams through well-designed data platforms.\n\nYou're comfortable making architectural decisions, balancing short-term delivery with long-term scalability and technical excellence.\n\nYou enjoy solving ambiguous, open-ended problems and can independently drive large technical initiatives from design through implementation.\n\nYou naturally mentor other engineers through technical leadership, thoughtful code reviews, and raising engineering standards across the team.\n\nYou communicate complex technical concepts clearly and collaborate effectively across engineering, product, and infrastructure teams.\n\nYou're motivated by ownership, enjoy working in fast-moving environments, and thrive where you can have a direct impact on both product and engineering direction.\n\nPreferred Qualifications\nExperience with cryptocurrency and blockchain data\n\nStrong data visualisation skills (esp. Omni/Looker)\n\nExperience working with event tracking data\n\nAdvanced knowledge of statistical methods and causal inference\n\nExperience building and maintaining data pipelines (esp. Dagster, DBT)\n\nFamiliarity with Machine Learning methods and applications\n\nExperience in consumer tech products or fintech\n\nWhat it's like to work here\nWe work in person\n\nHours can be long and unconventional\n\nThe pace is intense\n\nExpectations are high, and impact is immediate\n\nWorking at Bags.fm is not for everyone\n\nWhy Join Us?\nUnmatched ownership and autonomy\n\nExposure to systems operating at the edge of crypto scale\n\nThe ability to ship fast and see real-world impact immediately\n\nIf you’re motivated by responsibility, speed, and building products used by massive audiences, you’ll feel at home here.","description_format":"text","description_chars":3788,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Blockchain & Crypto"],"lifecycle":[{"event":"open","at":"2026-10-26T14:26:25Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.547,"p_room":0.28,"age_days":71,"expected_fill_days":31,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/bags-staff-data-engineer","json_url":"https://alion.io/job/bags-staff-data-engineer.json","meta":{"generated_at":"2026-10-28T13:50:30Z","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":18782,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":1965675},"rest":"https://alion.io/mcp/rest/get_company?id=1965675"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbags-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%2Fbags-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%2Fbags-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/bags-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbags-staff-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3275353}},{"tool":"search_jobs","arguments":{"company":"bags.fm","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3275353},"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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