Data Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Apr, 26

Salary

199000.0

Posted On

25 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, Data Governance, Data Compliance, Data Security, AI Solutions, Machine Learning, Data Quality, Data Pipelines, Collaboration, Problem Solving, Monitoring, Visualization, Continuous Improvement, Customer Experience, Cloud Computing

Industry

Software Development

Description

Overview 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. Responsibilities 1. Design and maintain data platform to efficiently transform, manage, and access data, ensuring robustness and scalability. 2. Contribute to data modeling efforts by drafting design documents and collaborating with Data Scientists to improve data flow and storage. 3. Perform tasks necessary to adhere to Engineering Fundamentals standards, implement solutions to minimize failures, monitor data quality, and share insights for continuous improvement. 4. Implement monitoring protocols across data pipelines, build visualizations to track data health, and contribute to troubleshooting and support activities. 5. Ensure compliance with data handling policies and laws, contribute to data governance and security practices, and help document data lineage and classifications. 6. Support productization of AI/ML solutions in collaboration with Product Engineering teams, Data and Applied Scientists Qualifications Required Qualifications: 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. 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: 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. #PRIMOjobs #EngOps Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.

Responsibilities

The Data Engineer II will design and maintain a data platform, ensuring robustness and scalability while collaborating with Data Scientists to improve data flow. Responsibilities also include implementing monitoring protocols and ensuring compliance with data handling policies.