Senior Software Engineer – Data Post by Microsoft

March 11, 2024
Senior Software Engineer – Data Post by Microsoft

Job Description

Date posted: Mar 08, 2024

Work site: Up to 50% work from home

Travel: 0-25 %

Role type: Individual Contributor

Profession: Software Engineering

Discipline: Data Engineering

Employment type: Full-Time


The Commerce + Ecosystems (C+E) team is working to enable easier experience for customers and partners to grow, as well as to buy and do business with us by delivering a dependable, safe and secure commerce infrastructure. Our Ecosystems team is committed to driving discovery and awareness of Microsoft within our ecosystem of products and services and reaching technical communities worldwide.

We are looking to hire an experienced and energetic Data Engineer to join the Customer Experience (CX) / Support Experience Group (SXG) team. We are building the next generation of our applications running on Azure that pull together Dynamics 365, Office 365 and several other Microsoft cloud services to deliver high value, complete, and predictive application scenarios across all devices and form factors. We innovate quickly and collaborate closely with our partners and customers in a very agile, high-energy environment. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using innovative technologies and to solve challenging problems for large scale 24×7 business SaaS applications excite you, please come and talk to us!

Our Data Engineering team uses Microsoft Azure Data Services to produce quality data and analytics that aid our organization in making important decisions and enable operations across the Microsoft Support organizations.

We are looking for talented and motivated data engineers interested in helping our organization empower learners through producing valuable data that can be used to understand the organization’s needs to make the right decisions. We want you for your passion for technology, your curiosity and willingness to learn, your ability to communicate well in a team environment, your desire to make our team better with your contributions, and your ability to deliver.

We use industry-standard technology: C#, JavaScript/Typescript, HTML5, ETL/ELT, Data warehousing, and/ or Business Intelligence Development.


Required Qualifications: 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 8+ years experience in business analytics, software development, data modeling or data engineering work.
  • Software development using languages like C#, JavaScript or Java.
  • Experience using a variety of data stores, including data warehouses, RDBMS, in-memory caches, and document Databases.
  • Proficiency with SQL and NoSQL and hands-on experience using distributed computing platforms.
  • Experience in ETL/ELT, Data warehousing, data pipelines and/ or Business
  • Intelligence Development.
  • Experience developing on cloud platforms (i.e. Azure, AWS) in a continuous delivery environment.
  • Hands-on experience using ML, anomaly detection, predictive analysis, exploratory data analysis.
  • A strong understanding of the value of Data, data exploration and the benefits of a data-driven organizational culture.
  • Strong problem solving, design, implementation, and communication skills.
  • Strong intellectual curiosity and passion for learning new technologies.

Preferred Qualifications: 

  • Experience with large data engineering projects.
  • Ability to provide technical leadership to other developers.
  • Firm sense of accountability and ownership for end-to-end project lifecycle.
  • Strong collaborator who can clearly explain work, listen to peers and customers, embodies growth mindset, and work effectively cross group and within the team.
  • Experience working with large data sets in SQL/Data Bricks/PySparkSQL/Azure
  • Data Factory or similar.
  • Deep practical experience in one or more of the following is preferred: AI and
  • Machine Learning.
  • Business Intelligence experience or visualization with tools such as Power BI is also beneficial.
  • Experience implementing data systems in C#/Python/Scala or similar.



  • Leading, Architecting and Implementing Data Engineering solutions.
  • Champion data-driven decisions for feature prioritization and delivery.
  • Managing multiple projects, including timelines, customer interaction, feature tradeoffs, etc.
  • Design and implement scalable data models, data pipelines, data storage, management, and transformation solutions for real-time decisioning, reporting, data collecting, and related functions.
  • Leveraging machine learning(ML) models knowledge to select appropriate solutions for business objectives.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Develop and maintain software designed to improve data governance and security.
  • Troubleshoot and resolve issues related to data processing and storage.
  • Collaborate effectively with teammates, other teams and disciplines and drive improvements in engineering at the org level.
  • Experiment with and recommend new technologies that simplify or improve the tech stack.
  • Work to help build an inclusive working environment.