{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/azure-eventhubs"},"x-facet":{"type":"skill","slug":"azure-eventhubs","display":"Azure EventHubs","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c9ae282-129"},"title":"Member of Technical Staff - Data Platform","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Mountain View office. This role sits at the heart of designing distributed systems that process petabytes of data for the world&#39;s most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of &#39;ETL&#39; into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of &#39;ETL&#39; into self-service infrastructure.</li>\n<li>Modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Master&#39;s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor&#39;s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in Python, Scala, Java, or Go.</li>\n<li>Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake).</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing.</li>\n<li>Experience with container orchestration (Kubernetes) for deploying data applications.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary range: $119,800 - $234,700 per year.</li>\n<li>Comprehensive benefits package, including medical, dental, and vision insurance.</li>\n<li>401(k) matching program.</li>\n<li>Paid time off and holidays.</li>\n<li>Opportunities for professional growth and development.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8c9ae282-129","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-platform/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$119,800 - $234,700 per year","x-skills-required":["Python","Scala","Java","Go","Apache Spark","Flink","Ray","Trino","Snowflake"],"x-skills-preferred":["Kafka","Azure EventHubs","Pulsar","Kubernetes"],"datePosted":"2026-03-06T07:26:42.738Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, Go, Apache Spark, Flink, Ray, Trino, Snowflake, Kafka, Azure EventHubs, Pulsar, Kubernetes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4c6c34df-ee0"},"title":"Member of Technical Staff - Data Platform","description":"<p><strong>Summary</strong></p>\n<p>Microsoft are looking for a talented Member of Technical Staff - Data Platform at their Redmond office. This role sits at the heart of designing distributed systems that process petabytes of data for the world&#39;s most advanced AI models. You will own the platform that transforms raw, massive-scale signals into the fuel that powers training, inference, and evaluation for millions of users.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Member of Technical Staff - Data Platform, you will be responsible for designing and building the underlying frameworks that allow internal teams to process massive datasets efficiently, abstracting away the complexity of &#39;ETL&#39; into self-service infrastructure. You will modernize our data stack by moving from batch-heavy patterns to event-driven architectures, utilizing modern streaming architecture to reduce latency for AI inference.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Design and build the underlying frameworks that allow internal teams to process massive datasets efficiently</li>\n<li>Modernize our data stack by moving from batch-heavy patterns to event-driven architectures</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Master&#39;s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Proficiency in Python, Scala, Java, or Go</li>\n<li>Deep Distributed Systems Knowledge: Demonstrated technical understanding of massive-scale compute engines (e.g., Apache Spark, Flink, Ray, Trino, or Snowflake)</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong background in streaming technologies (Kafka, Azure EventHubs, Pulsar) and stateful stream processing</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary</li>\n<li>Comprehensive benefits package</li>\n<li>Opportunities for professional growth and development</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_4c6c34df-ee0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-data-platform-2/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"USD $119,800 – $234,700 per year","x-skills-required":["Python","Scala","Java","Go","Apache Spark","Flink","Ray","Trino","Snowflake"],"x-skills-preferred":["Kafka","Azure EventHubs","Pulsar"],"datePosted":"2026-03-06T07:25:59.144Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Scala, Java, Go, Apache Spark, Flink, Ray, Trino, Snowflake, Kafka, Azure EventHubs, Pulsar","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":119800,"maxValue":234700,"unitText":"YEAR"}}}]}