Member of Technical Staff - Data Engineer
Microsoft New York City, NY Full-time 3/24/2026
Master's with 2+ Years of ExperienceUndergraduate with 5+ Years of Experience
Approval 98.4%•Total filings 6,363•New hires 3,142•
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•FY 2025Job Description
Microsoft AI is seeking an experienced Data Engineer to build critical data pipelines for their Copilot systems. The role requires technical expertise in big data processing technologies and a collaborative approach to problem-solving, with a focus on creating scalable and maintainable solutions.
Requirements
- Bachelor's Degree in Computer Science, Math, Software Engineering, Computer 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 in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop ecosystem, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
- 2+ years' experience building distributed systems at scale.
Responsibilities
- Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks.
- Enjoy working in a fast-paced, design-driven, product development cycle.
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
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