{"schemaVersion":"jobsearcher.job.v1","id":"6a0f71a06ac36bbc0722fbf1","url":"https://jobsearcher.com/jobs/6a0f71a06ac36bbc0722fbf1","canonicalUrl":"https://jobsearcher.com/jobs/6a0f71a06ac36bbc0722fbf1","title":"Staff Engineer - Data & Inference","description":"B2B marketing platform delivering hyper-precise targeting through data\n\nB2B marketing runs on bloated lists and spray-and-pray outreach, burning budget on leads that never convert. This role builds the data and inference infrastructure to replace that guesswork with actual precision. You will architect the pipelines that synthesize massive enterprise datasets, pushing them through inference engines to pinpoint the right accounts at the exact right moment.\n\nWhat we’re looking for:\n\n6 to 12 years of engineering experience, with deep expertise in data infrastructure and distributed systems\n\nFluency in Python and NodeJS, with hands-on production experience running Spark and Kafka\n\nProven ability to orchestrate complex workflows using Airflow within Kubernetes environments\n\nComfortable building and maintaining CI/CD pipelines for high-throughput data services\n\nExperience operating across the stack, with enough React familiarity to bridge data systems with frontend delivery\n\nMust be based in the United States.\n\nTech stack: Python, NodeJS, React, Spark, Kafka, Airflow, Kubernetes, K8s\n\n#J-18808-Ljbffr","company":"Fluency Digital","rawCompany":"fluency digital","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-07-04T03:52:39.858Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer - Data & Inference","description":"B2B marketing platform delivering hyper-precise targeting through data\n\nB2B marketing runs on bloated lists and spray-and-pray outreach, burning budget on leads that never convert. This role builds the data and inference infrastructure to replace that guesswork with actual precision. You will architect the pipelines that synthesize massive enterprise datasets, pushing them through inference engines to pinpoint the right accounts at the exact right moment.\n\nWhat we’re looking for:\n\n6 to 12 years of engineering experience, with deep expertise in data infrastructure and distributed systems\n\nFluency in Python and NodeJS, with hands-on production experience running Spark and Kafka\n\nProven ability to orchestrate complex workflows using Airflow within Kubernetes environments\n\nComfortable building and maintaining CI/CD pipelines for high-throughput data services\n\nExperience operating across the stack, with enough React familiarity to bridge data systems with frontend delivery\n\nMust be based in the United States.\n\nTech stack: Python, NodeJS, React, Spark, Kafka, Airflow, Kubernetes, K8s\n\n#J-18808-Ljbffr","datePosted":"2026-07-04T03:52:39.858Z","dateModified":"2026-07-04T03:52:39.858Z","hiringOrganization":{"@type":"Organization","name":"Fluency Digital","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6a0f71a06ac36bbc0722fbf1"},"url":"https://jobsearcher.com/jobs/6a0f71a06ac36bbc0722fbf1"}}