Data Engineer II
About The Position
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? Join Engineering Operations (EngOps) – the organization driving operational excellence across the Microsoft Cloud to strengthen quality, reliability, security, and customer trust. As part of EngOps, you’ll design solutions that prevent issues before they happen, embed AI-powered automation, and turn signals into actions that deliver measurable customer impact. Our culture of empowerment, inclusion, and growth mindset defines how we work. Every day, customers stake their business and reputation on our cloud. You can help EngOps keep them secure, resilient, and ready. In the new era of AI, this role within Eng Ops Data & Applied Sciences team will provide you the opportunity to work on cutting-edge Analytical, GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for a Data Engineer II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists.
Requirements
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Nice To Haves
- 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 5+ years experience in business analytics, data science, software development, data modeling, or data engineeringOR equivalent experience.
- 4+ year(s) experience with data governance, data compliance and/or data security.
Responsibilities
- Design and maintain data platform to efficiently transform, manage, and access data, ensuring robustness and scalability.
- Contribute to data modeling efforts by drafting design documents and collaborating with Data Scientists to improve data flow and storage.
- Perform tasks necessary to adhere to Engineering Fundamentals standards, implement solutions to minimize failures, monitor data quality, and share insights for continuous improvement.
- Implement monitoring protocols across data pipelines, build visualizations to track data health, and contribute to troubleshooting and support activities.
- Ensure compliance with data handling policies and laws, contribute to data governance and security practices, and help document data lineage and classifications.
- Support productization of AI/ML solutions in collaboration with Product Engineering teams, Data and Applied Scientists
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
