资深软件工程师，大数据
Staff Software Engineer, Big Data
**关于Pinterest：**
全球数百万人来到我们的平台，寻找创意灵感，畅想新的可能性，并规划将永远铭记的回忆。在Pinterest，我们致力于为每个人带来创造理想生活的灵感，而这一切始于产品背后的人。
在这里开启职业生涯，点燃创新，将热情转化为增长机会，庆祝彼此的独特经历，并拥抱[灵活性](https://www.pinterestcareers.com/our-life/pinflex/)以发挥最佳水平。打造你热爱的职业？一切皆有可能。
在Pinterest，AI不仅仅是一个功能，它是一个强大的合作伙伴，增强我们的创造力并放大我们的影响力，我们正在寻找对成为其中一员充满热情的候选人。为了全面了解你的经验和能力，我们将考察你的基础技能以及你与AI协作的方式。
通过我们的面试流程，最重要的是你能清晰地解释你的思路，不仅展示你掌握的知识，更展示你的思维方式。你可以在此了解更多关于我们的AI面试理念以及我们在招聘过程中如何使用AI [这里](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/)。
**关于tvScientific**
tvScientific是首个且唯一的专为效果营销人员设计的CTV广告平台。我们利用海量数据和前沿科学，自动化并优化电视广告以推动业务成果。我们的解决方案将媒体购买、优化、测量和归因整合在一个高效平台上。我们的平台由在程序化广告、数字媒体和广告验证领域有长期经验的行业领袖打造，现在专门为CTV效果广告构建了一个值得信赖的平台，帮助广告主实现业务增长。
我们正在寻找一名资深数据工程师，负责设计、实施和演进我们的身份服务和数据治理平台。这个职位对于确保组织内可信赖、隐私安全且良好治理的数据至关重要。你将在数据工程、身份解析、隐私和平台可靠性交叉领域工作。这是一个个人贡献者角色，你将负责定义和实现组织内部数据工程的战略愿景。
**你将负责：**
- 设计和维护一个可扩展的身份解析平台
- 构建管道和服务以摄取、标准化、链接和验证数据
- 与跨职能团队合作，确保数据质量、一致性和合规性
- 推动数据治理策略，支持公司范围内的数据使用和合规要求
- 与产品和工程团队协作，设计和实现数据基础设施解决方案
查看英文原文
**About Pinterest:**
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the [flexibility](https://www.pinterestcareers.com/our-life/pinflex/) to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process [here](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).
**About tvScientific**
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
**What you'll do:**
- Design and maintain a scalable identity resolution platform
- Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
- Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
- Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets
- Build and operate batch and streaming pipelines using modern data stack tools
- Create clear documentation, standards, and runbooks for identity and governance systems
- Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
- Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
- Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
- Establish monitoring and alerting for data quality, freshness, and integrity
**What we're looking for:**
- Production data engineering experience
- Bachelor’s degree in computer science, related field or equivalent experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Experience implementing data governance practices, including data quality, metadata management, and access controls
- Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Excellent written and verbal communication skills
- Successful design and implementation of scalable and efficient data infrastructure
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
**In-Office Requirement Statement:**
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
**Relocation Statement:**
- This position is not eligible for relocation assistance. Visit our [PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
_Information regarding the culture at Pinterest and benefits available for this position can be found [here](https://www.pinterestcareers.com/pinterest-life/)._
US based applicants only
$177,185—$364,795 USD
**Our Commitment to Inclusion:**
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete [this form](https://forms.gle/sS24D4WboEKUZMQK6) for support.
_By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire._