{"schemaVersion":"jobsearcher.job.v1","id":"989f8a63529446580d8f1cb0","url":"https://jobsearcher.com/jobs/989f8a63529446580d8f1cb0","canonicalUrl":"https://jobsearcher.com/jobs/989f8a63529446580d8f1cb0","title":"Data Engineering Manager AI & Data Modernization","description":"Data EngineerA data engineer who thinks 'governed' and 'fast' are the same requirement stated twice. You belong here even if you haven't spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent strong credentials in the neighboring discipline plus a year or two of serious hands-on work with LLM-based systems is exactly the profile we grow.You lead the data-engineering work on a modernization engagement: batch and streaming pipelines, productized data ready for AI consumption, and the data-plane governance catalog, quality, lineage, observability that downstream trust stands onTravel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.Here's What You Need:Minimum of 5 years of hands-on data engineering or data platform engineering, with at least 12 years specifically on AI/LLM-related data work.Minimum of 5 years of experience working in agile engineering or consulting teams.Minimum of 5 years with Python and SQL at production scale, plus at least one cloud data platform.Minimum of 5 years with streaming technologies and orchestration tooling (Kafka, Airflow, or equivalent).Minimum of 1 year designing for both AI workloads and classical analytics on the same foundation.AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 12 years of hands-on LLM work is exactly the profile we grow.Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).Bonus Points If You Have:Lakehouse/open-table-format depth (Delta, Iceberg).Data-mesh experience in decentralized organizations.Vector and graph stores alongside the relational stack.","company":"Hackajob","rawCompany":"hackajob","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-02T12:33:23.409Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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":"Data Engineering Manager AI & Data Modernization","description":"Data EngineerA data engineer who thinks 'governed' and 'fast' are the same requirement stated twice. 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The amount of travel will vary from 0 to 100% depending on business need and client requirements.Here's What You Need:Minimum of 5 years of hands-on data engineering or data platform engineering, with at least 12 years specifically on AI/LLM-related data work.Minimum of 5 years of experience working in agile engineering or consulting teams.Minimum of 5 years with Python and SQL at production scale, plus at least one cloud data platform.Minimum of 5 years with streaming technologies and orchestration tooling (Kafka, Airflow, or equivalent).Minimum of 1 year designing for both AI workloads and classical analytics on the same foundation.AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 12 years of hands-on LLM work is exactly the profile we grow.Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).Bonus Points If You Have:Lakehouse/open-table-format depth (Delta, Iceberg).Data-mesh experience in decentralized organizations.Vector and graph stores alongside the relational stack.","datePosted":"2026-11-02T12:33:23.409Z","dateModified":"2026-11-02T12:33:23.409Z","hiringOrganization":{"@type":"Organization","name":"Hackajob","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"989f8a63529446580d8f1cb0"},"url":"https://jobsearcher.com/jobs/989f8a63529446580d8f1cb0"}}