{"id":1920561,"url":"https://alion.io/job/hyperbolic-senior-data-engineer","title":"Senior Data Engineer","company":{"id":63294,"name":"Hyperbolic","domain":"hyperbolic.ai","url":"https://alion.io/company/hyperbolic","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":89,"open_postings":11,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-07T05:47:15Z"}},"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":138000,"max_usd":267000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":960},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"PostgreSQL","optional":false},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-05T15:56:40Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-08T00:36:38Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Who We Are\nHyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.\nABOUT THE ROLE\nThis is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1. You'll be one half of a two-person data team, working alongside our data analyst, which means a high degree of autonomy and a direct line to impact. Today our product engineers maintain the data stack on top of their day jobs. You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy.\nThe timing matters. As we launch new products like inference, our data volume will grow fast, we will add more data sources, and more teams will rely on BI and reporting. Scrappy processes and off-the-shelf tools won't keep up at that scale, and you will build what comes next.\nYou will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use.\nOur current data stack includes Redshift, Postgres, and Hex, with Polytomic for ingestion.\nWHO YOU ARE\nTrack record of independently building and maintaining a data warehouse that ingests and aggregates data from multiple sources using industry-standard tooling\n\nExperience designing data models for new business lines, figuring out what to model and how as new products (like spot and inference) come online\n\nExperience ensuring data reliability and quality through testing, documentation, and governance\n\nFamiliarity with data lakes and data warehouses, and when to use each\n\nDeep knowledge of Postgres, including partitioning, data archival, and moving large datasets\n\nExperience working with large datasets\n\nExperience supporting production systems: monitoring, troubleshooting, and performance tuning\n\nStrong communication skills, with the judgment to push back on requests that would add tech debt and explain why\n\nPREFERRED QUALIFICATIONS\nFamiliarity with the AWS ecosystem (this can be learned on the job)\n\nDBA experience\n\nExperience setting up CI/CD for data pipelines\n\nBackground in GPU infrastructure, cloud computing, or AI infrastructure\n\nExperience at an early-stage, high-growth technical company\n\nHyperbolic is an equal opportunity employer. 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