Xbox Game Studios makes some of the best AAA games on the planet and the opportunities for a motivated Data Engineering Manager 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 Data Engineering Manager 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 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.
Qualifications:
Required 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, data modeling or data engineering work
- OR equivalent experience.
- 3+ years of experience designing, building, and maintaining scalable and robust cloud-based big data solutions.
- 1+ year(s) of experience in data governance, data stewardship, or a similar role.
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
- Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR equivalent experience.
- 1+ year(s) people management experience.
- 1+ year(s) of experience with machine learning frameworks like PyTorch
- 1+ years of experience designing, building, and maintaining machine learning infrastructure and implementing automated ML workflows.
Data Engineering M4 – The typical base pay range for this role across the U.S. is USD $112,000 – $218,400 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 $145,800 – $238,600 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 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities:
- You will help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. You’ll also provide expertise on techniques to transform raw data into forms compatible with downstream data sources.
- You will guide the development of data tools used to transform, manage, and access data. You’ll also advise the team on writing and validating code to test the storage and availability of data platforms so that they’re more resilient.
- You will oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health. You’ll also coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features.
- You will help others identify data governance needs, overseeing the design of data modeling and handling procedures to ensure compliance with all applicable laws and policies. You’ll oversee data accessibility within your assigned pipelines.
- You will prepare team members for meetings with appropriate stakeholders across teams and address concerns around data requirements by providing guidance on feature estimation. You will help others assess data costs, access, usage, use cases, dependencies across products, and availability for business or customer scenarios related to one or more product features.