Software Engineer II

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We are looking for a Software Engineer II who thinks about data structures, algorithms, and architecture while both bringing solid coding skills and the ability to apply software engineering practices to agent assisted (agentic) development: we build quickly but know precisely what we are doing. Our goal is to create an environment where access to data and the ability to play with data are top priorities, moving beyond traditional pipeline operations to enable creative solutions at scale.

What you'll work on:

• Designing systems to enable rapid and automated data exploration (UI innovations, LLM-powered summarization, intelligent prioritization).
• Building infrastructure for fast query execution and instant paths to insights.
• Designing schemas that reduce complexity and simplify understanding of Store customer journeys.
• Automating the generation of batch processing at Windows scale.
• Creating agentic data solutions that integrate with MCPs and leverage AI to surface what matters.
• Collaborating with applied science and data science teams in Windows, and with engineering teams across Microsoft to solve problems and understand root causes.
• We work in a variety of languages given the situation: Python, C#, Java, Scala, TypeScript, and will always pick the right tool for the job. A willingness to look below the surface and explore deeper concepts or rapidly innovate on new approaches is essential.

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

• 2+ years of experience in data engineering.
• Proven coding and debugging skills in C#, C++, Java, or SQL
  
• Experience with data modeling, data warehousing, and ETL techniques.
  
• Experience with cloud platforms and services, such as Azure, etc.
  

Other Requirements:

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.

Preferred Qualifications:

• 3+ years of experience in data engineering.
• Especially valuable: Spark, Delta/Iceberg, StarRocksDB, Azure cloud.
• Nice to have: Kubernetes, Kafka, Flink, real-time/NRT systems, open-source data platforms, SQL and other query languages.
  
• Data science exposure: Experience working alongside ML/analytics teams, understanding of statistical methods or experimentation frameworks.
• Ability to work and communicate effectively across disciplines and teams
• Familiarity with distributed data processing and analysis, such as Map-Reduce

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until October 23, 2025.

#W+DJOBS

• Build infrastructure for fast query execution and instant paths to insights.
• Design schemas that reduce complexity and simplify understanding of Store customer journeys.
• Automate the creation and generation of data processing (batch/streaming) at Windows scale.
• Design systems to enable rapid and automated data exploration, richer visualization, LLM-powered summarization, and intelligent prioritization.
• Create agentic data solutions that integrate with MCPs and leverage AI to surface what matters.
• Collaborate with applied science and data science teams in Windows to solve problems and understand root causes.
• Partner with engineering teams across Microsoft to deliver data infrastructure solutions.
• Embody our culture and values.