Jobs
Overview Join us at the forefront of innovation in Microsoft’s Copilot Studio Growth team within the Business Industry Copilot organization—where data and insights shape the future of customer experiences and business growth. As a Senior Data Engineer, you will play a pivotal role in building the next generation of copilots and intelligent data agents that empower key business decisions by Microsoft leadership through data-driven insights and automation. We are looking for a Senior Data Engineer to join our team! Our mission is to revolutionize how data is engineered, analyzed, and activated—leveraging generative AI to deliver scalable, adaptive, and intuitive solutions that drive business and revenue growth. If you're interested about transforming raw data and building innovative data products while helping define the future of AI-powered analytics, this is your opportunity to lead that change. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
- Responsibilities This role demands a blend of artificial intelligence expertise and data engineering development skills to contribute to all phases of our product lifecycle, from conception to deployment.
- Architect and build intelligent agents that automate data workflows, insights generation, and stakeholder interactions.
- Integrate generative AI into data engineering pipelines and analytics platforms to enable scalable and adaptive solutions.
- Collaborate with cross-functional teams including product managers, data scientists, and engineering partners to deliver high-impact outcomes.
- Implement agent-based systems focused on data and insights.
- Ensure performance, reliability, and security of solutions across diverse data environments.
Qualifications:
Required Qualifications:
- 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
- OR 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
- OR equivalent experience.
- 1+ year(s) with enterprise-scale data governance, security, and compliance.
- 1+ year(s) demonstrated success in delivering products that drive measurable business impact.
- 1+ year(s) knowledge in data engineering and AI-driven analytics. Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Experience in Product led growth analytics.
- Experience in AI-driven analytics.
- Master'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
- OR Bachelor'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
- OR equivalent experience."Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #BICJobs #MCSJobs
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
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$163,358
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14%
Experience
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Negative 57%
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Application Review
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Recruiter Screen
3
Technical Phone Screen
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Technical Interview
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Onsite/Virtual Interviews
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