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Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services and our team is focused on delivering high quality infrastructure to support cloud operations. As Microsoft’s Cloud business continues to mature, our infrastructure expansion accelerates, and Data Centers are central to this growth. To support this, the acquisition and development of our owned, designed, and constructed Data Center facilities will scale to meet the demands of our customers, while we also continue to lease and acquire Data Center capacity at pace, particularly in our high growth markets, working closely with Data Center operators in each region, and across the Globe.  

We are seeking a skilled Data Engineer to join our COI+I Lease and Land Development Digital Transformation team. The ideal candidate will have a potential background in data management, algorithm design, and analytical skills to drive the development and optimization of our systems and tools. This role will involve transforming raw data into valuable insights, designing efficient data architectures, and ensuring compliance with data governance standards.

• 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 must relocate or reside within 50 miles of the hub office location.

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

As a Data Engineer, we expect aspirent to have skills like:

Data Management and Transformation: Apply modification techniques to transform raw data into compatible formats for downstream systems. Utilize software and computing tools to ensure data quality and completeness. Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability.

Data Requirements and Modeling: Collaborate with stakeholders to document and understand data requirements. Evaluate project plans to assess data costs, access, and availability. Draft design specifications to model data flow and storage, ensuring data is easy to connect and manage.

Compliance: Adhere to data modeling and handling procedures to maintain compliance with laws and policies. Document data type, classifications, and lineage to ensure traceability and govern data accessibility.

Engineering Fundamentals: Perform root cause analysis to identify and resolve anomalies. Implement performance monitoring protocols and build visualizations to monitor data quality and pipeline health. Support and monitor data platforms to ensure optimal performance and compliance with service level agreements.

• Data Engineering, insights generation and analytics with deep domain knowledge understanding.

• With detailed instructions, you’ll implement code to extract raw data, validate its quality, and ensure the correct data is ingested within your area of work after cooking, data transformation.

• You will follow data modeling and handling procedures to maintain compliance with all applicable laws and policies across your assigned workstreams.

• Advocate for best practices in data engineering.

• Develop Applications and Reports: Create Power Apps and Power Business Intelligence (BI) reports. Visualize data using relevant tools.

• Utilize Relevant Technologies: Implement solutions using DevOps, PowerApps, and Power BI.

• Design and Implement Dashboards: Develop user-friendly dashboards for various applications, such as Supplier Spend Analytics, Supplier Scorecards, Incident and Service Level Agreement (SLA) Compliance Monitoring, Spares and Inventory Management, and other business-facing applications.

• Coordinate with Teams and Partners: Collaborate with internal and external stakeholders for more complex operational efficiency improvements.

• Embody our Culture (https://careers.microsoft.com/v2/global/en/culture) & Values (https://www.microsoft.com/en-us/about/corporate-values)

Qualifications

Required Qualifications

• Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years’ 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 and 1+ years’ experience in business analytics, data science, data modeling or data engineering work.

• OR Equivalent Experience.

• 2+years of experience in developing solutions with Microsoft Power Platform, including Power BI, Power Apps, Power Automate & M365 Dataverse.

• 2+ years of experience in building Data Pipelines using Azure Data Factory.

• 1+ year of experience in developing solutions in Azure Fabric.

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 include :

• Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years’ 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 and 3+ years’ experience in business analytics, data science, data modeling or data engineering work

• OR Equivalent Experience

• 3+ Years of experience in writing SQL Queries.

• Creative problem-solving & analytical skills to drive keen insights and identification of opportunities combined with a “sense of urgency” to develop solutions.

• Deploying solutions in Azure Services & Managing Azure Subscriptions.

• Understanding and knowledge about big data and writing queries with Kusto/KQL.

• Understanding and knowledge about extracting data via REST APIs.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 September 2, 2024.

Co+I#Microsoft Redmond #

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) .