Turn enterprise data into insights that help Microsoft operate at scale.As a
Data Engineer II, you will build, operate, and evolve data platforms that transform large volumes of operational and business data into trusted, actionable insights. You will work with product managers, engineers, business stakeholders, and data consumers to design and implement scalable data solutions that support reporting, analytics, automation, and decision making across Microsoft's enterprise services.
You will contribute to the full data lifecycle, including data ingestion, transformation, modeling, orchestration, monitoring, and operational support. Working with modern cloud technologies such as Microsoft Fabric, Spark, and Azure data services, you'll help deliver reliable and efficient data products while improving platform performance, resiliency, and maintainability.
This opportunity will allow you to deepen your expertise in modern data engineering practices, build scalable analytics solutions using Microsoft's latest data technologies, and collaborate directly with engineering and business leaders to influence how data is leveraged across one of the world's largest enterprise environments. This role offers flexibility through Microsoft's hybrid work model.
Responsibilities- You will design, develop, and maintain scalable data pipelines, transformations, and data models that convert complex data into trusted datasets for analytics, reporting, and operational insights.
- You will build and operate data solutions using modern cloud and analytics technologies, including Microsoft Fabric, Spark, data warehousing, and orchestration platforms.
- You will implement data quality, monitoring, and reliability practices to ensure data accuracy, availability, performance, and operational excellence across data platforms and pipelines.
- You will partner with business stakeholders, program managers, and engineering teams to translate business requirements into scalable technical solutions and actionable data products.
- You will contribute to the design, automation, and continuous improvement of data platform capabilities, including deployment processes, CI/CD pipelines, metadata management, and operational tooling.
- You will support live-site operations by investigating data issues, responding to incidents, implementing corrective actions, and improving platform resiliency to reduce recurring problems.
- You will collaborate across teams to share best practices, improve engineering standards, evaluate emerging technologies, and drive adoption of modern data engineering capabilities.
- Embody our culture and values.
QualificationsRequired/Minimum Qualifications:- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Other Requirements:- 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 designing, developing, or supporting data pipelines, ETL/ELT processes, data models, or analytical solutions.
- Experience with SQL and one or more modern data engineering technologies such as Spark, Python, PySpark, Scala, data warehouses, or cloud-based data platforms.
- Experience working with business stakeholders to translate business requirements into technical solutions.
- Experience building and operating modern data platforms using Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, OneLake, or comparable cloud-based analytics technologies.
- Experience developing scalable data solutions using SQL, Python, PySpark, Spark SQL, or other distributed data processing technologies, including data modeling and ETL/ELT pipeline development.
- Experience implementing data engineering operational practices, including source control, CI/CD, automated testing, monitoring, data quality management, and DevOps methodologies.
- Experience delivering enterprise analytics and reporting solutions, partnering with business stakeholders to transform complex operational data into actionable insights while applying appropriate governance, privacy, and compliance practices.
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Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
