{"schemaVersion":"jobsearcher.job.v1","id":"aaa6c349a2d4dd6a698e2498","url":"https://jobsearcher.com/jobs/aaa6c349a2d4dd6a698e2498","canonicalUrl":"https://jobsearcher.com/jobs/aaa6c349a2d4dd6a698e2498","title":"Staff Data Engineer (Python, AI/ML) - REMOTE","description":"Staff Data Engineer (Python, AI/ML) – Remote\r\nLocation: Remote (U.S. Only)\r\nCompensation: $220,000 – $240,000 per year + full benefits\r\nAbout the Opportunity\r\nAn international media and digital analytics organization is seeking a Staff Data Engineer to help lead the evolution of its data platforms and AI capabilities. This is a senior, high-impact technical role focused on large-scale data architecture, cross-platform integration, and AI/LLM-driven product development. You'll work across multiple teams to shape long-term architecture, drive innovation, and ensure systems scale effectively as the organization grows.\r\nKey Responsibilities\r\nDesign and own scalable, cross-platform data architecture across complex systems\r\nLead integration of data platforms to enable unified insights and product capabilities\r\nBuild and optimize data pipelines (batch + streaming) and data models at scale using Python and modern data frameworks\r\nDevelop and maintain production-grade Python code for data processing, automation, and AI/ML workflows\r\nDrive development and deployment of AI/ML and LLM-powered features\r\nEstablish best practices for data modeling, pipeline design, and system observability\r\nMentor engineers and raise the technical bar across teams\r\nTranslate business needs into clear, scalable architectural decisions\r\nContribute to architecture reviews, roadmap planning, and on-call support for production systems\r\nRequired Qualifications (Must-Have)\r\n8+ years of experience in data engineering or data architecture\r\nProven experience working in complex, multi-system or multi-team environments\r\nStrong Python expertise (hands-on, production-level development)\r\nExperience building AI/ML or LLM-based solutions in production\r\nDeep experience with large-scale data architecture (pipelines, modeling, warehousing)\r\nStrong communication skills — able to translate complex technical concepts clearly\r\nDemonstrated success mentoring engineers and elevating team performance\r\nStrongly Preferred\r\nExperience with Snowflake, BigQuery, or similar cloud data warehouse platforms\r\nFamiliarity with Kafka, Kubernetes, or real-time streaming infrastructure\r\nExperience with cross-division or cross-company data/platform integration initiatives\r\nPassion for mentorship, teaching, and contributing to engineering culture—not just individual delivery\r\nTechnical Environment\r\nCloud data warehouses (Snowflake, BigQuery, or similar)\r\nData processing & orchestration (Spark, Kafka, Airflow, or equivalent)\r\nBatch and streaming data pipelines\r\nCloud-native / containerized environments (Kubernetes a plus)\r\nWhat Success Looks Like\r\nFirst 90 days: Deliver an architectural assessment and identify integration opportunities\r\n6 months: Advance or deliver a cross-platform data or AI initiative\r\n12 months: Own the data architecture roadmap and mentor multiple engineers\r\nBenefits\r\nMedical, Dental, and Vision coverage\r\n401(k) with company match\r\nGenerous paid parental leave\r\nFlexible work schedule + unlimited PTO\r\nMonthly stipends (home office, internet, wellness)\r\nAnnual company event\r\nCollaborative culture with a strong work-life balance\r\nJ-18808-Ljbffr","company":"NerdLevel Tech","rawCompany":"nerdleveltech","city":"New York","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-05-23T06:48:26.629Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Staff Data Engineer (Python, AI/ML) - REMOTE","description":"Staff Data Engineer (Python, AI/ML) – Remote\r\nLocation: Remote (U.S. Only)\r\nCompensation: $220,000 – $240,000 per year + full benefits\r\nAbout the Opportunity\r\nAn international media and digital analytics organization is seeking a Staff Data Engineer to help lead the evolution of its data platforms and AI capabilities. This is a senior, high-impact technical role focused on large-scale data architecture, cross-platform integration, and AI/LLM-driven product development. You'll work across multiple teams to shape long-term architecture, drive innovation, and ensure systems scale effectively as the organization grows.\r\nKey Responsibilities\r\nDesign and own scalable, cross-platform data architecture across complex systems\r\nLead integration of data platforms to enable unified insights and product capabilities\r\nBuild and optimize data pipelines (batch + streaming) and data models at scale using Python and modern data frameworks\r\nDevelop and maintain production-grade Python code for data processing, automation, and AI/ML workflows\r\nDrive development and deployment of AI/ML and LLM-powered features\r\nEstablish best practices for data modeling, pipeline design, and system observability\r\nMentor engineers and raise the technical bar across teams\r\nTranslate business needs into clear, scalable architectural decisions\r\nContribute to architecture reviews, roadmap planning, and on-call support for production systems\r\nRequired Qualifications (Must-Have)\r\n8+ years of experience in data engineering or data architecture\r\nProven experience working in complex, multi-system or multi-team environments\r\nStrong Python expertise (hands-on, production-level development)\r\nExperience building AI/ML or LLM-based solutions in production\r\nDeep experience with large-scale data architecture (pipelines, modeling, warehousing)\r\nStrong communication skills — able to translate complex technical concepts clearly\r\nDemonstrated success mentoring engineers and elevating team performance\r\nStrongly Preferred\r\nExperience with Snowflake, BigQuery, or similar cloud data warehouse platforms\r\nFamiliarity with Kafka, Kubernetes, or real-time streaming infrastructure\r\nExperience with cross-division or cross-company data/platform integration initiatives\r\nPassion for mentorship, teaching, and contributing to engineering culture—not just individual delivery\r\nTechnical Environment\r\nCloud data warehouses (Snowflake, BigQuery, or similar)\r\nData processing & orchestration (Spark, Kafka, Airflow, or equivalent)\r\nBatch and streaming data pipelines\r\nCloud-native / containerized environments (Kubernetes a plus)\r\nWhat Success Looks Like\r\nFirst 90 days: Deliver an architectural assessment and identify integration opportunities\r\n6 months: Advance or deliver a cross-platform data or AI initiative\r\n12 months: Own the data architecture roadmap and mentor multiple engineers\r\nBenefits\r\nMedical, Dental, and Vision coverage\r\n401(k) with company match\r\nGenerous paid parental leave\r\nFlexible work schedule + unlimited PTO\r\nMonthly stipends (home office, internet, wellness)\r\nAnnual company event\r\nCollaborative culture with a strong work-life balance\r\nJ-18808-Ljbffr","datePosted":"2026-05-23T06:48:26.629Z","dateModified":"2026-05-23T06:48:26.629Z","hiringOrganization":{"@type":"Organization","name":"NerdLevel Tech","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"aaa6c349a2d4dd6a698e2498"},"url":"https://jobsearcher.com/jobs/aaa6c349a2d4dd6a698e2498"}}