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Our vision is bold and broad \u2014\u202fto build systems that have true artificial intelligence\u202facross agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0\u00a0\u00a0 Microsoft AI (MAI) is seeking an experienced Data Engineer to join the Growth team and contribute to the evolution of AI systems, with a focus on the personal AI assistant, Copilot. In this role, you will manage critical data pipelines and systems that drive the intelligence behind our products. While expertise in real-time systems, large language models (LLMs), and machine learning models is strongly preferred, we welcome candidates with broad data engineering experience and a passion for solving dynamic AI challenges.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. 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Pipeline Integration : Integrate real-time and batch-processing pipelines to improve workflows and enhance user experience. ML Collaboration : Collaborate with machine learning engineers to support data preparation, feature engineering, and model evaluation for machine learning models. DS Collaboration : Work with data scientists to identify opportunities, conduct analyses, and drive data-driven decisions for AI initiatives. Feature Storage Management : Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like  PySpark  or similar. Workflow Optimization : Optimize workflows to ensure seamless integration and accessibility of data. Infrastructure Performance : Implement performance monitoring, troubleshoot issues, and develop scalable solutions to ensure reliability. Qualifications Required Qualifications: Bachelor'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 work OR Master'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 work\u00a0 OR equivalent experience.\u00a0 3+ years of experience shipping product at scale Preferred Qualifications: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years experience in business analytics, data science, software development, data modeling, or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work\u00a0 OR equivalent experience.\u00a0 Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. 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