Single Position

Azure Data Analytics Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.

The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.

Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Fabric Data Engineering Experience & Infrastructure team is looking for a passionate engineer to help build the next generation of infrastructure services for Microsoft Fabric Data Engineering, powered by Apache Spark.

If you enjoy working on high-scale distributed systems, developer experiences, and platform infrastructure that makes engineers more productive, this is a great place to do it.

What you'll work on:

• Build and operate core infrastructure services that power Fabric Data Engineering on Spark
• Improve scalability, resiliency, and observability across Spark-based services
• Partner closely with product, client/UX, and runtime teams to ship end-to-end experiences
• Drive engineering excellence through design reviews, testing, incident learnings, and performance tuning
• Intelligent job/session orchestration and scheduling improvements
• Runtime performance optimizations (caching, adaptive execution, cost/perf tuning)
• Debuggability & observability (logs/metrics/traces, diagnostics experiences)
• Reliability tooling (auto-heal, safe rollouts, incident reduction)
• Data engineering developer experience improvements (config, templates, integrations)

What we're looking for:

• Strong software engineering fundamentals and experience shipping production services
• Comfort working with distributed systems and performance-critical code
• Experience with Spark and/or big data systems is a big plus (but not required if you're eager to learn)
• Collaborative mindset and ownership mentality—someone who likes building, iterating, and improving systems over time

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Responsibilities:

• Design and develop world-class experiences for a new big data cloud offering, with an emphasis on scale, reliability, and performance.
• Build and evolve core infrastructure services that power data engineering and analytics workloads (compute, runtime services, job/session management, configuration, and platform integrations).
• Drive technical design and implementation end-to-end: translate requirements and documentation into robust production code.
• Troubleshoot and improve systems using source code analysis and production instrumentation (logs, metrics, traces), and turn operational learnings into engineering improvements.
• Improve platform scalability, resiliency, and observability, including automation to reduce operational toil.
• Partner closely with product and engineering teams to deliver end-to-end features and continuously raise the quality bar.
• Other:
  Embody our culture and values

Qualifications:

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Strong software engineering fundamentals (data structures, algorithms,…