Job Description

Microsoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while helping Microsoft teams work smarter, faster, and more securely every day. Microsoft Digital employees have deep technical and business expertise, customer insights, and a clear point of view that comes from first-hand, large-scale experience with Microsoft and industry solutions. We are engineers, technology leaders and experts, digital transformation change agents, and customer advocates.

We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!

Turn enterprise data into insights that help Microsoft operate at scale.

As a Data Engineer, 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.

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.

#MSD

#MSDJOBS

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.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, service engineering, or systems engineering
  • OR equivalent experience.
• 5+ years of hands on Experience in managing data and data related technologies.
• 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.

Preferred Qualifications:

• 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.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.