18 hours ago
Base Salary
$120k - $261k/yr
Responsibilities
- Partner with software development teams to understand productivity evaluation practices and design new metrics and measurement approaches.
- Build and operate reliable, maintainable data pipelines, schemas, dashboards, and other engineering artifacts.
- Identify technology-stack gaps and implement practical solutions using internal or open-source code when appropriate.
- Use AI tools throughout the software development lifecycle, reviewing generated changes and remaining accountable for final results.
- Translate user satisfaction into secure, privacy-aware quantitative and qualitative feedback loops.
- Assess delivery readiness, minimize defects, and communicate blockers, timeline impacts, and mitigation options.
Requirements
- Bachelor's degree in computer science or a related technical field and 86+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
- Preferred qualifications include a master's degree and 6+ years of experience, or a bachelor's degree and 8+ years of experience, in technical engineering with coding experience, or equivalent experience.
- Experience with dimensional modeling and analytics engineering, including star schemas, medallion architecture, or semantic layers.
- Experience with SQL, KQL, Azure Data Explorer, or similar analytical query languages.
- Experience with Spark-based big-data platforms such as Databricks.
- Experience building REST APIs or MCP servers with web application frameworks.
- Experience building or integrating LLM-powered tools, AI agents, or MCP servers.
- Experience with DevOps, CI/CD pipelines, infrastructure-as-code, and production monitoring or observability.
- Quantitative aptitude and experience reasoning about metric definitions, data quality, and statistical validity.
- Familiarity with developer productivity frameworks such as DORA and SPACE.
- Experience collaborating with data and applied scientists and using AI coding assistants in daily development.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- The position is open for a minimum of 5 days, with applications accepted on an ongoing basis until filled.
- The posting provides different base-pay ranges for general U.S. locations and the San Francisco Bay Area and New York City metropolitan areas.
Tech Stack
Categories
BackendData Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.