Data & Service Engineer

Requirements

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modeling or data engineering work
• Experience writing code in Python and SQL, or other relevant data-focused programming languages
• Experience building or operating production data pipelines using distributed data processing platforms, such as Apache Spark–based systems (e.g., Databricks or Azure Synapse)
• Experience working with large-scale data storage and table formats commonly used in data lake architectures
• Familiarity with cloud platforms (Azure preferred) and service engineering practices

Nice to Haves

• Experience working with event-driven or streaming data ingestion systems (e.g., Azure Event Hubs, Kafka)
• Experience working with large-scale consumer data in production services
• Experience applying data governance, data compliance, and data security practices in production data systems

Responsibilities

• Build and operate production services that ingest, validate, transform, and serve data in cloud-hosted environments (using containerized and serverless services in Azure)
• Design, maintain, and improve data and model infrastructure used to process, store, distribute, and access large datasets
• Monitor health and performance of live data services, investigate service issues, and participate in incident response
• Partner with engineers, product managers, and applied scientists to deliver high-quality data and production-ready services
• Apply security, privacy, and compliance standards across pipelines and services

Perks and Benefits

• Opportunity to work in Microsoft's advanced AI and search organization
• Contribute to building the next generation of human-centered AI products
• Develop hands-on expertise with large-scale data systems
• Support from coaching and mentoring to deepen expertise
• Work alongside talented engineers in the team