{"id":2146712,"url":"https://alion.io/job/whirl-ai-data-engineer","title":"Data Engineer","company":{"id":2463726,"name":"Whirl AI","domain":"whirlai.com","url":"https://alion.io/company/whirlai","size_band":"11-50","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":"hybrid","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":null,"salary_estimate":{"min_usd":140000,"max_usd":268000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T21:38:20Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-12T10:03:03Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Company Description\nWhirl AI helps Enterprise IT organizations deliver business change faster. Our platform gives enterprise teams AI agents grounded in a deep, continuously updated understanding of how their systems actually work - compressing discovery and documentation from weeks to hours without sacrificing quality or control. We are early-stage, moving fast, and building the team that will define how Enterprise IT operates in the AI era.\nRole Description\n You’ll own the data backbone powering our agents, from system of record to agentic insights. As a senior IC, you'll be an integral part of developing our data platform, with end-to-end responsibility for how data enters our systems and how it’s surfaced, queried and acted on by users and agents.\nYour Responsibilities\nOwn the full vertical, from API ingestion to agentic data discovery, workflows, automation, etc.\n\nDesign and build new data connectors, and improve existing ones, replicating data from a range of source systems into our platform\n\nOptimize ingestion performance and troubleshoot issues to ensure fast, secure, and reliable data transfer from external systems.\n\nRaise the technical bar for the team by example: code, design reviews, and informal mentorship without formal reporting responsibilities.\n\nPartner with Product and customers to understand business requirements and translate them into concrete data solutions.\n\nQualifications\n5+ years of industry experience designing, building, and owning large-scale systems in production\n\nA track record of owning complex projects from design through launch, with the ability to weigh hard tradeoffs and drive to completion\n\nDeep experience with high-performance, scalable software in a distributed, cloud-scale environment.\n\nStrong SQL skills and a deep understanding of relational databases.\n\nReal experience with CDC systems (log-based or event-based replication, schema drift, checkpointing, and delivery guarantees)\n\nA strong point of view on infrastructure and API design, backed by things you've actually built and maintained.\n\nWhy Join us\nOwn meaningful technical decisions at the ground floor of an AI company targeting a massive market\n\nWork directly with founders and have immediate, visible impact\n\nCompetitive compensation including equity and benefits (100% employer-paid health plan coverage for employees)\n\nWhirl AI is committed to equal employment opportunity. All hiring decisions are made on the basis of qualifications, merit, and business need - never on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.\nWe build better products because our team doesn't all think the same way, and we want that to keep being true. Show up as yourself. 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