Microsoft Digital (MSD) is seeking a Data Engineer II in Redmond, Washington, with a hybrid work arrangement. Turn enterprise data into insights that power Microsoft at scale. In this role, 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 collaborate with product managers, engineers, business stakeholders, and data consumers to translate requirements into scalable technical solutions and data products that support reporting, analytics, automation, and decision making across Microsoft’s enterprise services. You will contribute to the full data lifecycle, including ingestion, transformation, modeling, orchestration, monitoring, and operational support. You will work with modern cloud technologies such as Microsoft Fabric, Spark, and Azure data services to deliver reliable and efficient data products while improving platform performance, resiliency, and maintainability. This opportunity offers flexibility through Microsoft’s hybrid work model and exposure to cutting-edge data engineering practices. Qualifications include a Master’s or Bachelor’s degree in a relevant field and 1–2 years of experience in business analytics, data science, software development, data modeling, or data engineering. Experience with SQL and modern data engineering technologies such as Spark, PySpark, Scala, data warehouses, or cloud-based data platforms is preferred. Experience working with business stakeholders to translate business requirements

Microsoft Digital (MSD) is seeking a Data Engineer II in Redmond, Washington, with a hybrid work arrangement. Turn enterprise data into insights that power Microsoft at scale. In this role, 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 collaborate with product managers, engineers, business stakeholders, and data consumers to translate requirements into scalable technical solutions and data products that support reporting, analytics, automation, and decision making across Microsoft’s enterprise services. You will contribute to the full data lifecycle, including ingestion, transformation, modeling, orchestration, monitoring, and operational support. You will work with modern cloud technologies such as Microsoft Fabric, Spark, and Azure data services to deliver reliable and efficient data products while improving platform performance, resiliency, and maintainability. This opportunity offers flexibility through Microsoft’s hybrid work model and exposure to cutting-edge data engineering practices. Qualifications include a Master’s or Bachelor’s degree in a relevant field and 1–2 years of experience in business analytics, data science, software development, data modeling, or data engineering. Experience with SQL and modern data engineering technologies such as Spark, PySpark, Scala, data warehouses, or cloud-based data platforms is preferred. Experience working with business stakeholders to translate business requirements