资深数据工程师（L6）
Staff Data Engineer (L6)
在 Netflix,我们的使命是娱乐世界。我们一起写下一个集 - 推进故事讲述的边界，全球热爱和让难以想象的事情成为现实。我们是一个梦幻团队，沉迷于发现创造力，直觉和尖端技术融合时会发生什么不舒服的兴奋。来做接下来的的一部分。###关于团队广告数据工程是建立一个数据生态系统的核心，它能推动 Netflix 对广告的影响的理解和决策。这一团队构建丰富，连接和易于访问的数据产品涵盖广告库存，预测，定位，广告服务，步伐，测量等。我们正在寻找一名工作人员数据工程师来帮助为整个 Ads DE org 设置技术条。这不是一个专注于单个团队或域名的角色；它是关于塑造所有我们的广告数据系统如何合并在一起，帮助不同团队实现一致，可扩展方法，并作为我们的工程领导者的思想合作伙伴随着业务和数据景观不断发展。**你是谁？** - 一位经验丰富的技术人员，在15多年内构建数据基础，后端或数据工程系统，其他工程师自然会寻找方向。- 你已经花了实时时间进行广告或广告技术数据，虽然你的深度可能最深处于一个领域，但你很舒服地移动到几个方面。- 你建立了信任和推动了技术方向跨越组织线路，而不仅仅是在自己的团队中，而且你已经在不止一个公司或角色中做到这一点。- 你曾经经历过了一个主要平台迁徙或数据产品流程的混乱中间，从0到1和1到100,并且有着伤痕和本能证明它。- 你把数据作为一个产品，以用户，质量和可测量的影响为重点；你建立了数据基础，用作飞轮来解锁整个业务的影响，远远超过仅是调整管道和服务分析工作流程。- 你认真对待数据隐私和治理，不是作为一个检查框，而是作为你实际构建的东西。- 你是一个清晰的，有思想的沟通者，可以将技术细微分别转化为工程师和商业界领导人，经常在同样的对话中。- 你很舒服于模糊性，同样舒适地帮助智能，有意见的工程师们找到共同答案。- 你真的很喜欢帮助他们。
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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.
### About the team
Ads Data Engineering is at the core of building a data ecosystem that powers Netflix's understanding and decision-making about the impact of ads on our business. This team builds rich, connected, and easily accessible data products spanning ad inventory, forecasting, targeting, ad serving, pacing, measurement, and more.
We're looking for a Staff Data Engineer to help set the technical bar for the entire Ads DE org. This isn't a role focused on a single team or domain; it's about shaping how all of our ad data systems fit together, helping different teams land on coherent, scalable approaches, and serving as a thought partner to our engineering leaders as the business and data landscape continue to evolve.
**Who are you?**
- A seasoned technologist with 15+ years building data-foundation, backend, or data engineering systems, someone other engineers naturally look to for direction.
- You've spent real time in advertising or ad-tech data, and while your depth may run deepest in one domain, you're comfortable moving across several.
- You've built trust and driven technical direction across organizational lines, not just within your own team, and you've done it in more than one company or role.
- You've lived through the messy middle of a major platform migration or data products’ journey from 0 to 1 and 1 to 100, and you have the scars and the instincts to show for it.
- You approach and design data as a product for the business with focus on users, quality, and measurable impact; You build data foundations as flywheels to unlock impact across the business, well beyond just orchestrating pipelines and serving analytics workflows.
- You take data privacy and governance seriously, not as a checkbox, but as something you've actually built for.
- You're a clear, thoughtful communicator who can translate technical nuance for engineers and business context for leaders, often in the same conversation.
- You're comfortable with ambiguity, and just as comfortable helping a room of smart, opinionated engineers land on a shared answer.
- You genuinely enjoy helping other engineers grow, and see that as just as core to the job as your own technical output.
**What will you do?**
- Set technical direction and design coherence across the entire Ads Data Engineering org, connecting the dots between domains rather than optimizing just one.
- Weigh in on and help resolve cross-domain design decisions, helping teams converge on approaches that scale across the org, not just within a single team.
- Partner closely with the Ads DE director and DE managers as a senior technical voice, bridging technical strategy with broader business priorities.
- Mentor and coach data engineers across the org, helping them grow technically and adopt AI and emerging tools and technologies.
- Build strong partnerships with senior engineers on our data platform and D&I teams, contributing to and shaping horizontal and platform-wide efforts.
- Help define what AI-native data engineering looks like for Ads DE as the function continues to evolve.
- You will be the primary technical voice in partnerships with Ads Platform Engineering, Ads Data Science, and Product; Your impact will be at the Ads level, not at the sub-domain or pipeline-level.
**What (ideally) do you know?**
- Modern data stacks end-to-end: ingestion, processing, storage, and serving.
- Ad-tech systems and data flows, ideally with direct exposure to domains like bidding, measurement, or attribution.
- Large-scale distributed data systems such as Spark, Kafka, or columnar stores.
- The latest in AI and agentic technologies as they apply to data engineering.
- A graduate degree in Computer Science with a data focus is a plus, as is experience formally mentoring engineers on their technical growth.
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 $510,000.00 - $820,000.00. 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.