Microsoft

Senior Telemetry Data Engineer

Redmond, WA US
USD 117k - 250k
Azure Machine Learning Streaming
Description

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.       

 

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 business 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.       

 

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 CO+I Critical Environment Systems Intelligence (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, observability based, live service culture. As a Senior Data Engineer, Telemetry, you will be a key player in this transition.     

 

As a Senior Data Engineer, Telemetry on the CO+I Critical Environment Service Intelligence (CESI) team, you partner and collaborate on the design and delivery of automated solutions to monitor, detect, and alert on data center critical environment mechanical and electrical resourcesYou will collaborate with other CO+I teams to contribute and benefit from their work to ensure that we are constantly improving across the fleetYou 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.  

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

 

This role is located either in one or all hub locations - Atlanta, GA, Washington, D.C., Redmond, WA, San Antonio, TX or Phoenix, AZ. 

Relocation support will be provided, and successful candidates will need to relocate or reside within 50 miles of the hub office location. 

This role is eligible for hybrid or remote work, up to 100%.

Required/Minimum Qualifications

  • 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 work
    • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience.

 

Background Check 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.

 

Additional or Preferred Qualifications

  • 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 work
    • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
    • OR equivalent experience.

 

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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

Microsoft will accept applications for the role until November 16, 2024

 

 

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.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.

 

#COICareers  

 

  • Drive a program that covers end-to-end onboarding, monitoring, and processing of critical environment (CE) infrastructure telemetry for all leased sites. 
  • Design and implement telemetry data ingestion and data processing systems for leased sites. 
  • Prototype, pilot, and deploy multi-signal anomaly detection and prevention systems leveraging machine learning and statistical analysis for DC leased sites  
  • Define and drive an operationalization plan for the telemetry pipeline for leased sites. 
  • Ensure interoperability of detection methods, systems, and workflows by defining conceptual, logical, and physical data models. 
  • Understand the signals coming from the EPMS and BAS systems for leased sites. 
  • Ensure high percent coverage and mapping of leased site signals including thermal, power, and other environmental conditions and data. 
  • Define a set of reusable primitives for mapping logical and physical topology of data centers leased sites. 
  • Ensure there is a high-frequency, high-volume, low-latency streaming and micro-batching capable pipeline to process DC CE telemetry from leased sites.  
  • Architect a staging model to ensure the onboarding of leased sites CE telemetry (thermal, power, and other environmental subjects). 
Microsoft
Microsoft
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