Data Engineer

Microsoft•Redmond, WA

About The Position

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Our success is grounded in a culture of respect, integrity, accountability, and a growth mindset—values that shape how we work, innovate, and collaborate every day. Cloud Operations & Innovation (CO+I) is the engine behind Microsoft’s cloud. We operate a global portfolio of more than 400 datacenters and millions of servers, supporting digital services for over one billion customers and twenty million businesses across more than ninety countries. This infrastructure is designed, operated, and continuously improved by teams of deep technical experts who safeguard reliability, trust, and scale. IT Process and Standards (ITPS), a team within CO+I Core Datacenter Services (CDS), envisions a unified, automated approach to managing IT operations processes and standards across Microsoft’s global datacenter fleet. This ensures the ability to maintain and restore IT capacity efficiently and effectively to meet cloud service availability targets at scale. ITPS defines and evolves processes that underpin datacenter IT operations, including breakfix workflows, service transition, planning and scheduling, and IT service management orchestration. By equipping operations teams with the right tools and procedures, ITPS supports innovation and growth across offerings such as Azure AI, high-performance computing clusters, and mission-critical workloads. We are seeking a Data Engineer to join our Data team within ITPS. In this role, you will design and implement scalable data models and pipelines, extract, transform, and load (ETL) data from multiple sources, and set requirements to improve data quality and structure. You will optimize pipelines for efficiency and scalability, ensuring systems handle growing data volumes. Strong collaboration and communication skills are essential to work across teams, influence decisions, and deliver data-driven solutions. 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.

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
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.

Nice To Haves

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years 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 8+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
2+ years experience with data governance, data compliance and/or data security.

Responsibilities

Design and implement scalable data models and pipelines to support analytics and reporting.
Extract, transform, and load (ETL) data from multiple sources, ensuring quality, reliability, and performance.
Assess breakfix ticketing data sources and quality; set organizational requirements to improve underlying data structure and integrity.
Monitor and optimize data pipelines for efficiency, cost, and resilience and ensure system can scale as data volume grows.
Collaborate with stakeholders to define data requirements, and align on delivery timelines.
Implement performance monitoring protocols and build visualizations to track pipeline health and data quality.
Maintain documentation including data dictionaries, lineage, and design specifications.
Communicate with technical and non-technical audiences and contribute modeling expertise as a team player.
Influence across disciplines and teams to ensure we are making data-driven decisions and solving critical problems for our customers.
Mentor others and stay current with advances in the industry.