Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

​​We are looking to hire a Senior Software Engineer- Microsoft Fabric to join the team. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric.​

​​The Fabric Data Engineering Experience & Infrastructure team is passionate about shaping the future of data engineering, pushing the boundaries of what's possible. At the forefront of empowering users to design, build and maintain data engineering infrastructure and systems that enable their organizations to collect, store, process, and analyze large volumes of data, you will work alongside talented engineers to innovate and re-imagine Data Engineering experiences, building on cutting-edge, SaaS-like capabilities like Lakehouse, Spark Job Definitions and Notebooks, powered by highly-scalable, business critical infrastructure and services.

As part of our team, you will work alongside passionate engineers to design, implement, and deliver scalable software components and services that power Fabric Data Engineering experiences, such as Lakehouse, with industry leading performance, security, reliability and development practices, while also contributing to design and code reviews. Experience working with Spark is a plus for this role.

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We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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.

Responsibilities

• ​​Work with a passionate team of engineers to deliver success for customers

• Design, implement, test, ship, and support large scale services and components powering Fabric Data Engineering experiences with industry leading quality, performance, scalability, reliability, and security

• Collaborate with product managers on product specifications and requirements

• Solve complex problems with a growth mindset

• Build on our team culture focused on learning, growth and quality

• Support product live site and operations

• Mentor and grow peers to collectively deliver on our goals as a team​

• Other

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications

• ​​Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.​

• 2+ years of experience with building scalable backend cloud services

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/Additional Qualifications

• Experience with building scalable cloud services

• Excited by challenging technical problems

• Curiosity and willingness to learn

• Experience with Spark is preferred​

Software 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 December 27, 2024

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​​#azdat #azuredata #fabric #spark #dataengineering #de #dataengineer #powerbi #synapse​

Microsoft 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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .