Microsoft
Senior Data Engineer
Microsoft, Redmond, Washington, United States, 98052
Are you passionate about cloud computing? Do you get excited about taking a hands-on approach to transforming Microsoft’s most critical business through investigation, data analysis, and automation? If so, come and help us build the most reliable & efficient datacenter infrastructure on the planet.The Critical Environment Systems Intelligence (CESI) team is hiring a Senior Data Engineer to join the team. The CESI team is responsible for designing and delivering solutions to support global datacenter operations and to improve availability. CESI is helping to drive CO+I’s transition to a customer-centric, data-driven, live service culture. As a Senior Data Engineer, you will be a key player in this transition.As a Senior Data Engineer on the CO+I Critical Environment Service Intelligence (CESI) team, you will be responsible for designing and delivering automated solutions for the onboarding of new and existing data center critical environment anomaly detections. You will partner with CO+I teams to build off and leverage each other to ensure that we are driving continuous improvements across the fleet for critical environment anomaly detections and detection onboarding. You will work with massive amounts of data with low latency requirements across cutting edge technologies, with the potential for significant impact to both internal partners and external customers.Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft’s core cloud platforms and services that millions of people use every day. With more than 95% of Fortune 500 businesses on Azure, 180 million using Office 365, and millions using other services – all running on Microsoft's cloud infrastructure – CO+I builds and operates the foundation upon which Microsoft’s mission to empower every person and organization comes to life.Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.Responsibilities
As a Senior Data Engineer, you will:Own and drive data reliability and engineering planning from requirements to deployment, including assessing end-user and business needs, driving engagement, and keeping processes running smoothly.Research and identify data-related problems or potential problems and drive to resolution.Research and identify data that can be used in the creation of global datacenter anomalies and drive to resolution.Drive improvements into our dependent data pipelines and sources.Work closely with key stakeholders and SMEs to define business rules that determine governance and data quality.Assist in writing tests and creating monitoring systems that validate business rules.Perform thorough data analysis and testing to identify data gaps and ensure data quality.Work closely with application, data platform, and data engineering teams to reconfigure data ingestion pipelines to be more reliable and continuously monitored.Manage data incidents and drive blameless postmortems.Help drive the creation of monitoring, alerting, and reporting on the reliability of data pipelines and other big data processing systems.Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering workMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering workOR equivalent experience.2+ years of experience managing cross-functional and/or cross-team projects.2+ years of experience utilizing data analysis to inform business decisions.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.Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.Additional Or Preferred Qualifications
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years of experience in business analytics, data science, software development, data modeling, or data engineering workMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of experience in business analytics, data science, software development, data modeling, or data engineering workOR equivalent experience.6+ years of hands-on experience with Data Analytics applications (SQL, Kusto, Hadoop, or equivalent large data system).2+ years of hands-on experience creating and leveraging data visualization platforms (Power BI, Tableau, etc).Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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#COICareersMicrosoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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As a Senior Data Engineer, you will:Own and drive data reliability and engineering planning from requirements to deployment, including assessing end-user and business needs, driving engagement, and keeping processes running smoothly.Research and identify data-related problems or potential problems and drive to resolution.Research and identify data that can be used in the creation of global datacenter anomalies and drive to resolution.Drive improvements into our dependent data pipelines and sources.Work closely with key stakeholders and SMEs to define business rules that determine governance and data quality.Assist in writing tests and creating monitoring systems that validate business rules.Perform thorough data analysis and testing to identify data gaps and ensure data quality.Work closely with application, data platform, and data engineering teams to reconfigure data ingestion pipelines to be more reliable and continuously monitored.Manage data incidents and drive blameless postmortems.Help drive the creation of monitoring, alerting, and reporting on the reliability of data pipelines and other big data processing systems.Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of experience in business analytics, data science, software development, data modeling, or data engineering workMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years of experience in business analytics, data science, software development, data modeling, or data engineering workOR equivalent experience.2+ years of experience managing cross-functional and/or cross-team projects.2+ years of experience utilizing data analysis to inform business decisions.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.Citizenship & Citizenship Verification: This position requires verification of U.S citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.Additional Or Preferred Qualifications
Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years of experience in business analytics, data science, software development, data modeling, or data engineering workMaster's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of experience in business analytics, data science, software development, data modeling, or data engineering workOR equivalent experience.6+ years of hands-on experience with Data Analytics applications (SQL, Kusto, Hadoop, or equivalent large data system).2+ years of hands-on experience creating and leveraging data visualization platforms (Power BI, Tableau, etc).Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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#COICareersMicrosoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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