Senior Data Engineer - Xbox
Microsoft
Senior Data Engineer - Xbox
Redmond, Washington, United States
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Overview
Have you ever wanted to work in gaming? How about building safe and inclusive communities? How about impacting experience for millions of customers? What if you could do all three of those things at the same time?
Xbox is one of the world’s most valuable brands and enjoys millions of players and passionate fans. At Xbox, we believe Gamer Happiness is at the core to our mission of empowering every person and organization on the planet to achieve more. Since we launched Xbox Live over two decades ago, we’ve been constantly learning and investing in new tools to make Xbox a welcoming and inclusive space to game.
Gaming Player Services and Operations is at the heart of our ambition to reach billions of players across the globe, ensuring that every player feels included and engaged across Xbox. We do this through our commitment to driving operational excellence through innovation and ensuring player and partner delight across Microsoft Gaming.
Within the Safety, Trust, & Responsibility team, our mission is to grow and protect global player communities. We believe that wherever you play, it should be a fun, safe, and inclusive environment—and it’s our job to provide the services, expertise, and support to make accessible, world-class player experiences possible. We champion transparency, compliance, and the responsible use of AI, with trust at the core of how we operate. We embrace experimentation to reach more players, inform business decisions, and deepen our understanding of customer and player needs. Through a culture of innovation, collaboration, and continuous improvement, we support and challenge one another to perform at our best.
The Senior Data Engineer on our team works with cross-functional teams to build a world-scale data platform that supports community moderation experiences for some of the largest online communities around the globe. You will also collaborate with other teams across Xbox, Microsoft, and the gaming industry to ensure the developed technology complies with legal and regulatory requirements, as well as best practices for online safety and privacy. You will be a peer mentor and role model on the team, fostering a culture of customer focus, collaboration, diversity, and inclusion, and drive technical excellence and innovation.
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.
Qualifications
Required Qualifications:
- 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 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR equivalent experience.
- 3+ years of experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Snowflake, Hadoop, Spark), orchestration/data pipeline tools, data lakes.
Preferred Qualifications:
- Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Data Explorer (Kusto), Azure Cosmos DB, Azure logic apps, Fabric/Power BI
- Experience in modern DevOps practices (including Git, CI/CD)
- Experience delivering and tuning secure and scalable cloud-based services, data pipelines, storage, and dashboards.
- Proficient verbal and written communication skills with ability to effectively communicate technical concepts, problems and solutions to a diverse audience.
- Experience with Java/Python or similar languages
- Experience with AI / Machine Learning, Data Analysis, and/or MLOps (Machine Learning Operations)
- Self-motivated and organized to deliver results
Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 1, 2025.
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Responsibilities
- Building scalable data pipelines to ingest batch and streaming data in production environments
- Solving challenging data storage and serving problems to deliver high performance and efficiency
- Providing thought leadership, creation, and execution on data platform capabilities
- Creating dashboards to measure effectiveness of processes and systems
- Measuring the performance of components and queries to evolve and improve our features
- Mentoring other team members on creating high performance data structures and queries
- Planning and executing complex, cross-functional projects in partnership with a supportive team of engineers, data scientists, and leaders
- Embody our Culture & Values