Data Engineer

• Design, develop, test, and maintain secure, scalable data pipelines and processing solutions supporting UDP and enterprise analytics workloads.
• Develop data engineering solutions using PySpark, SQL, Spark notebooks, and distributed data processing technologies across Microsoft Fabric and Azure Synapse environments.
• Build and maintain curated data models and reusable datasets, applying sound dimensional modeling, data transformation, and data architecture practices.
• Implement automated data quality, validation, monitoring, and production support capabilities to ensure reliable and trustworthy data products.
• Optimize data pipelines and processing workloads for performance, scalability, reliability, and efficient resource utilization.
• Apply engineering best practices including source control, code reviews, testing, CI/CD, documentation, and maintainable development patterns.
• Implement appropriate security, privacy, access controls, and data governance requirements when processing sensitive enterprise and customer data.
• Troubleshoot data pipeline, transformation, and production issues, performing root-cause analysis and implementing durable fixes.
• Partner with analysts, engineering teams, and business stakeholders to translate reporting and analytics requirements into well-designed data solutions, communicate progress and technical tradeoffs, and resolve data issues.
• Contribute to the continuous improvement of the UDP engineering platform by identifying opportunities to simplify pipelines, improve data architecture, increase reuse, and reduce operational complexity.

• Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) 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 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
• OR equivalent experience.

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., * 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 5+ years experience in business analytics, data science, software development, data modeling, or data engineering
• OR equivalent experience.
• 1+ year(s) experience with data governance, data compliance and/or data security.
• 3+ years of experience in data or analytics engineering, building and supporting production data solutions.
• Experience developing Apache Spark/PySpark notebooks for large-scale data ingestion, transformation, enrichment, and processing.
• Experience with Azure Synapse Analytics or similar distributed data platforms, including secure ETL and data-processing workloads.Proficiency in SQL and dimensional data modeling, transforming complex source data into curated datasets optimized for analytics and Power BI.
• Experience building reliable production data pipelines, including validation, error handling, performance optimization, monitoring, and troubleshooting.
• Ability to translate business and reporting requirements into scalable data solutions and collaborate across data engineering, BI, analytics, and architecture teams.
• Hands-on experience with Microsoft Fabric Data Engineering, including Lakehouses, notebooks, Delta tables, OneLake, and SQL analytics endpoints.
• Experience designing medallion/lakehouse architectures across raw, curated, and consumption-ready data layers.Understanding of enterprise data security and governance, including identity-based access, environment separation, and handling of sensitive data.
• Experience with software engineering and DevOps practices for data solutions, including Git, code reviews, testing, CI/CD, and deployment across development, UAT, and production.
• Experience using AI-assisted development tools and reusable AI skills to improve data engineering productivity, code quality, testing, and troubleshooting.

Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.

MCAPS-Core accelerates customer outcomes and business growth. By uniting product, engineering, marketing, sales, customer success, and partners around a common customer mission, we help customers realize value faster and turn innovation into measurable business impact. Through deep technical expertise and differentiated go-to-market execution, we win competitively, capture market share, and scale repeatable growth motions. We differentiate through value creation - delivering world-class, AI-powered customer experiences that accelerate adoption, strengthen loyalty, and create sustainable competitive advantage, driving growth that outpaces the market.

MCAPS-Core Data & Applied AI (DAAI) is a centralized data and AI organization driving Microsoft’s transformation through enterprise data platforms, advanced analytics, AI-powered solutions, automation, and governance. Our mission is to turn data into intelligence and intelligence into action, empowering teams across Microsoft to accelerate decision-making, increase productivity, and deliver exceptional customer outcomes through innovative customer-zero solutions.

MCAPS-Core DAAI is seeking a Data Engineer to design and build the scalable data foundations, pipelines, and data products that power analytics, AI, and business insights across Microsoft. This role combines strong data engineering and software engineering skills to deliver reliable, high-quality solutions that integrate enterprise data and enable trusted, actionable insights. The ideal candidate is a hands-on engineer who enjoys solving complex data challenges, building reusable and automated solutions, and partnering across engineering, analytics, data science, and product teams to deliver measurable business impact.

Candidates who live within 50 miles of Microsoft’s Redmond campus will be required to work in the office 3 days per week.

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.