Data Engineer

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Microsoft Azure organization offers a terrific opportunity for technical enrichment and career growth. As part of Microsoft Azure, the Azure Networking team designs and builds the network infrastructure that powers hundreds of thousands of servers in datacenters around the globe, providing core network infrastructure services for Azure, Bing, and other Microsoft cloud services. In Azure Networking, we are at the very front of Cloud Computing by running one of the largest data center networks in the world.

Imagine harnessing the power of machine learning models, big data, and predictive analytics to transform the landscape of data center sustainability. With over 200 data centers spanning 32 countries and millions of servers, our global infrastructure is a playground for ambitious data scientists eager to make a tangible impact.

Collaborating with a team of experts, you'll support services for over 1 billion customers and 20 million businesses across 90 countries, pushing the boundaries of what's possible in the world of cloud computing. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

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.

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.

Required Qualifications:

• Bachelor's Degree in Computer Science, or related field

  • 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.

Prefferred Qualification:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, data modeling or data engineering work

  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field

  • OR equivalent experience

Data Engineering IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 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 $105,600 - $174,600 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

Microsoft will accept applications for the role until January 2, 2025.

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• With detailed instructions, you’ll implement basic code to extract raw data, validate its quality, and ensure the correct data is ingested within your area of work. You’ll also apply basic modification techniques to transform raw data into forms compatible with downstream data sources.
• With guidance from others, you’ll contribute to the development of data tools that can transform, manage, and access data. You’ll also validate code to test the storage and availability of data platforms so that they’re more resilient.
• You will contribute to performance monitoring protocols across a data pipeline, supporting existing visualizations and aggregations to ensure pipeline performance. You’ll assist others in implementing solutions that minimize points of failure and help test improvements across a product feature.
• You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams. You’ll also learn about permissions and approvals for data access within a data pipeline.