Xbox is seeking a highly skilled Data Engineer II to help take our analytical engineering and AI-powered insights to the next level on our modern data platform, harnessing petabytes of data and transforming them into trustworthy, self-service data models, semantic layers, and metrics that power high-quality product and business insights at scale
Requirements
- 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
- 3+ years of SQL, C-Sharp, Python, and other programming languages commonly used in data engineering
- 2+ years of big data technologies and frameworks such as Spark, SQL, ADLA, ADF, Databricks
- 2+ years with cloud platforms (e.g., Azure, AWS, Google Cloud) and their data services
- Proven experience in designing and implementing data lakes, warehouses, and ETL pipelines
- Experience with AI and machine learning capabilities—for example, anomaly detection and predictive retention
Responsibilities
- Design, development, and deployment of large-scale data solutions and pipelines that power code-first analytics and insight generation for our customers
- Ensure data accuracy, reliability, and timeliness across Xbox data systems, enabling trustworthy product and business insights and high-quality decision making
- Architect and implement robust data infrastructure to handle petabytes of data, optimizing for performance, scalability, and cost-efficiency on our modern data platform
- Collaborate with cross-functional teams—including feature developers, program managers, analysts, and data scientists—to define data requirements, standardize metrics, and deliver actionable insights
- Stay abreast of emerging technologies and industry trends in data engineering, analytics engineering, and AI, driving innovation and best practices within the data engineering domain
- Ensure compliance with data governance, privacy, and security standards, maintaining the integrity and confidentiality of all data assets
- Act as a technical lead on complex projects, providing strategic input, technical oversight, and mentorship to improve the velocity and quality of our analytics delivery
Other
- Master's Degree or Bachelor's Degree in related field
- 1+ year(s) or 2+ years experience in related field
- Proactive and excellent problem-solving skills with the ability to anticipate issues and resolve them efficiently in a fast-paced, dynamic environment
- Seamless communication and collaboration skills, with the ability to work effectively with diverse teams
- Demonstrates a growth mindset and intellectual curiosity, continuously seeking opportunities to learn, innovate, and adapt to emerging technologies and best practices
