TL;DR
Data Engineering Manager (AI): Building and optimizing mission-critical data pipelines for Microsoft Copilot AI systems with an accent on data ingestion, processing, and publishing for model fine-tuning. Focus on architecting scalable solutions, solving complex big data challenges, and driving engineering and operational excellence for the data platform.
Location: Redmond, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.).
Salary: USD $139,900 – $274,800 per year (general U.S. range); USD $188,000 – $304,200 per year (San Francisco Bay area and New York City metropolitan area).
Company
hirify.global is a division of Microsoft focused on building true artificial intelligence systems and making AI accessible to all users.
What you will do
- Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases.
- Collaborate with Platform, infrastructure, application engineers, and AI Researchers to build next-generation data platform products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Manage a small team of 4-5 senior data engineers, including talent management.
- Own engineering and operational excellence for the data platform, including PR reviews and code quality.
- Find paths to get things done despite roadblocks to deliver work quickly and iteratively.
Requirements
- Bachelor’s Degree in Computer Science, Math, Software Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering work; OR Master’s Degree AND 4+ years experience; OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, and NoSQL.
- 3+ years experience with data governance, data compliance, and/or data security.
- 2+ years’ experience building scalable services on public cloud infrastructure like Azure, AWS, or GCP.
- 2+ years’ experience building distributed systems at scale with extensive systems knowledge.
- English: B2 required.
Nice to have
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Culture & Benefits
- Work with hirify.global on the most interesting and challenging AI questions of our time.
- Contribute to a vision to build systems with true artificial intelligence across agents, applications, services, and infrastructure.
- Be part of an inclusive culture built on values of respect, integrity, and accountability.
- Opportunities to innovate and empower others with a growth mindset.
- Access to additional benefits and pay information as provided by Microsoft.
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