Software Engineer II

Do you want to help us revolutionize how Microsoft measures, monitors, and manages its business portfolio? Do you want to help us design and build the next generation of cutting-edge user experiences & advanced analytics platforms using the latest technology stack?

If so, we have a great opportunity for you in the Finance Data & Experiences (or FD&E for short) global organization. In FD&E, we build solutions at scale that enable Microsoft to run its business more efficiently and more effectively through trusted, connected, and compliant solutions. We operate within the business and have delivery partnerships across Engineering Groups, Finance, Sales, and Marketing. Our products influence data-driven decision making across a vast array of users and audiences, ranging from the company’s  Leadership Team to front-line sellers working with our customers. We pride ourselves on having a culture of customer centricity, innovation, agility, transparency, and flexibility. We are always eager to hear new ideas and promote out of the box thinking when addressing complex processes, architecture, or technology challenges.

As a Software Engineer II in the Field Revenue Engineering Insights team, you will be developing, improving and maintaining data products supporting Finance, Compensation and other Microsoft teams. You will partner with technical program managers to define capabilities and design solutions that will help our stakeholders make data-driven decisions. This Software Engineer II role will accelerate your career growth by enabling you to develop deep technical skills in leading-edge BI technologies, and to become adept at solving tough problems like meeting customer needs while addressing engineering priorities like long-term sustainability of the systems we build.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world

 Required/Minimum Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Scala or Python
  • OR equivalent experience.
• Demonstrable ability in data modeling, ETL development, and Business Intelligence & Data warehousing, or similar skills

Other Requirements:

• This position requires verification of citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local government agency customers and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport. 
• 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

• Bachelor's degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 5+ years’ experience in business analytics, data science, software development, data modeling or data engineering work
• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND
• 3+ years of business analytics, data science, software development, data modeling or data engineering work experience OR equivalent experience
• Experience with big data and big data tools (Spark Scala/pySpark)
• Ability to transform complex business requirements into data models, pipelines and data solution architecture
• Experience building cloud services on Azure

Software 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 January 29, 2025. 

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.

• Supports collaborations with appropriate stakeholders and records and documents data requirements
• Contributes to the appropriate data model for the project and drafts design specification documents to model the flow and storage of data for specific parts of a data pipeline
• With guidance, independently implements code to extract raw data from identified upstream sources
• Applies standard modification techniques and operations to transform raw data into a form that is compatible with downstream data sources
• Designs and maintains assigned data tools that are used to transform, manage, and access data
• Follows existing documentation or develop and implement performance monitoring protocols across a data pipeline
• Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure
• Follows data modeling and data handling procedures to maintain compliance with applicable laws and policies across assigned workstreams
• Embody our Culture and Values