分析工程师 5 - 云游戏基础设施数据产品
Analytics Engineer 5 - Cloud Games Infrastructure Data Products
在Netflix，我们的使命是娱乐全世界。我们正在共同书写下一章——突破叙事的边界、全球粉丝文化，并将难以想象的事情变为现实。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时带来的不安却令人兴奋的可能。加入我们，成为未来的一部分。
我们的云游戏产品为带来令人惊喜和娱乐的新体验提供了绝佳机会，这正迎合我们不断增长的会员需求。你将在这个激动人心的时刻加入我们，随着我们在云服务上推出更多游戏，你将有机会帮助我们重新定义Netflix订阅对全球会员的意义。
这个[分析工程](https://netflixtechblog.com/analytics-at-netflix-who-we-are-and-what-we-do-7d9c08fe6965)职位负责由支撑云游戏体验的系统所产生的数据集，涵盖如会员玩游戏时的体验质量（QoE）以及交付该体验的基础设施容量和利用率等区域。该职位将构建指标、工具和数据产品，使这些数据值得信赖、易于发现并可自助使用，并在业务中实现这些功能，以推动最高影响力机会的优先级排序。你将[加入分析工程师、数据科学家和数据工程师组成的团队](https://netflixtechblog.com/how-our-paths-brought-us-to-data-and-netflix-4eced44a6872)，与基础设施工程团队紧密合作，将遥测数据转化为自助式数据产品，指导公司如何投资其云游戏基础设施。
你将负责：
- 与我们的工程团队紧密合作，深入掌握云游戏基础设施的工作原理，包括体验质量及容量和利用率，并理解数据、分析、实验和算法如何提升其性能以及我们对其的投资。
- 负责分析数据层和数据产品（管道、表、仪表板、AI代理、工具和自助资产），将我们的QoE框架和容量及利用率分析转化为合作伙伴可信赖的洞察。
- 在整个数据栈中工作，包括遥测扩展和日志记录、数据建模、指标开发、可视化和洞察生成，以推动资源的协调一致
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Our cloud games offering is an incredible opportunity to deliver new experiences that delight and entertain our growing membership. You will be joining us at an exciting time as we roll out [more games on our cloud service](https://www.netflix.com/tudum/articles/new-netflix-games-play-on-tv-2025) and be in a position to help us redefine what a Netflix subscription means for our members around the world.
This [analytics engineering](https://netflixtechblog.com/analytics-at-netflix-who-we-are-and-what-we-do-7d9c08fe6965) role owns the datasets produced by the systems that power the cloud games experience, spanning areas such as the quality of experience (QoE) members have when they play and the capacity and utilization of the infrastructure that delivers it. This role will build the metrics, tooling, and data products that make this data trustworthy, discoverable, and self-service, and operationalize them across the business to drive prioritization of the highest-impact opportunities. You will [join the team](https://netflixtechblog.com/how-our-paths-brought-us-to-data-and-netflix-4eced44a6872) of Analytics Engineers, Data Scientists, and Data Engineers who partner closely with the infrastructure engineering teams to turn telemetry into self-service data products that guide how the business invests in its cloud gaming infrastructure.
What you’ll do:
- Partner closely with our engineering teams to develop deep expertise in how the cloud gaming infrastructure works, across both quality of experience and capacity and utilization, and understand how data, analytics, experimentation, and algorithms can drive improvements to its performance and how we invest in it.
- Own the analytic data layer and the data products (pipelines, tables, dashboards, AI agents, tooling, and self-service assets) that turn our QoE framework and our capacity and utilization characterization into reliable insights for partners.
- Work across the entire data stack, including telemetry extension and logging, data modeling, metrics development, visualization, and insights generation, to drive alignment of resources against the most important problems in this space.
- Build toward self-service access rather than ad hoc delivery, and ensure what the team publishes is trustworthy, well-documented, and maintainable over time.
- Independently identify and drive the highest-leverage investments across the cloud games infrastructure data domain.
You have:
- Passion for solving real-world problems through analytics, tooling, and visualization, and an eye for independently identifying new, impactful analytic opportunities.
- Expertise in SQL (Trino, Spark SQL), programming (e.g., Python), ETL, and data warehousing concepts at scale. Previous dbt experience as a bonus.
- An appetite for learning and adopting AI capabilities as a means to supercharge your workflow, paired with the judgment to know when their output is trustworthy and explainable enough to act on.
- Curiosity to pursue deep expertise in data science and engineering with a detailed understanding of distributed systems engineering and networking.
- Experience developing pipelines of moderate complexity on massive telemetry data sets, with the ability to effectively partner with data engineering teams, building more scalable solutions for the most important use cases.
- Strong judgment about where to invest, the discipline to keep sight of the bigger picture, and a bias toward durable, scalable capability over one-off outputs.
- Experience building strong partnerships and communicating technical and analytical concepts clearly and concisely among audiences at many different levels.
- Comfort with ambiguity and the ability to thrive with minimal oversight and process.
- Embodied the [Netflix values](https://jobs.netflix.com/culture) while bringing a new perspective to continue improving our culture.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $330,000.00 - $566,000.00. This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.