Senior Data Engineer - Gaming

Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Senior Data Engineer are endless.  We are an agile team within Xbox Games Studios Quality tackling a wide range of problems throughout the game development process.  As a Senior Data Engineer in Xbox Games Studios Quality, you will be working with major franchises that include Halo, Forza, Gears of War and Microsoft Casual Suite. You will be working alongside Data Scientist, Applied Scientist, Software and Quality Engineers to find innovative ways to incorporate data solutions into the game development pipeline for major game studios. This position includes flexible work from home options.

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/Minimum Qualifications 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR 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, or data engineering work
  • OR equivalent experience.
• 4+ years of experience in software or data engineering, with proven proficiency in C# and one scripting language for data retrieval and manipulation (e.g., SQL or KQL).
• 4+ years of experience with ETL and data cloud computing technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI or equivalent platforms.
• 3+ years of experience in MLOps, covering the entire machine learning lifecycle: data ingestion, preprocessing, model training, validation, deployment, and monitoring.

Additional or Preferred Qualifications 

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
  • OR equivalent experience.
• 2+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards.
• Experience building APIs and services using REST

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until January 29, 2025.

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• You will develop and maintain data pipelines, including solutions for data collection, management, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training.
• You will design and implement end-to-end software life cycles, encompassing design, development, CI/CD, service reliability, recoverability, and participation in agile development practices, including on-call rotation.
• You will write code to implement performance monitoring protocols across data pipelines, building visualizations and aggregations to monitor pipeline health. You’ll also implement solutions and self-healing processes that minimize points of failure across multiple product features.
• You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies.
• You will implemnent and enforce security and access control measures to protect sensitive resources and data.
• You will Perform database administration tasks, including maintenance, and performance monitoring.
• You will collaborate with Product Managers, Data and Applied Scientists, Software and Quality Engineers, and other stakeholders to understand data requirements and deliver phased solutions that meet test and quality programs data needs, and support AI model training and inference.