软件工程师 II, 大数据
Software Engineer II, Big Data
**关于Pinterest：**
全球数以百万计的人来到我们的平台，寻找创意灵感，畅想新的可能性，并规划将伴随一生的回忆。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，开启一段职业生涯，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/)，以发挥最佳工作状态。创造你热爱的职业？这完全有可能。
在Pinterest，人工智能不仅仅是一个功能，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，我们会考察你的基础技能以及你如何与人工智能协作。
在我们的面试过程中，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。你可以在此处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人工智能 [这里](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/)。
**关于tvScientific**
tvScientific是首个且唯一的CTV广告平台，专为效果营销人员打造。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。我们的平台由行业领袖打造，他们在程序化广告、数字媒体和广告验证领域有着悠久的历史，现在专门为CTV效果广告打造了一个值得信赖的平台，帮助广告商实现业务增长。
作为tvScientific的数据工程师，你将是在构建支撑我们数据密集型公司的强大数据基础设施的关键人物。你将与跨职能团队合作，不断演进我们的核心数据流水线，随着规模扩大设计高效的架构，并将数据存储在最优的引擎和格式中。这是一个个人贡献者角色，你将负责定义并实施组织内部数据工程的战略愿景。
**你将负责：**
- 在AWS上设计并实现稳健的数据基础设施，使用Spark和Scala
- 演进我们的核心数据流水线，以高效支持我们的快速增长
- 将数据存储在
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**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.
As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. 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 implement robust data infrastructure in AWS, using Spark with Scala
- Evolve our core data pipelines to efficiently scale for our massive growth
- Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
- Collaborate with our cross-functional teams to design data solutions that meet business needs
- Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
- Leverage and optimize AWS resources while designing for scale
- Collaborate closely with our Data Science and Product teams
- **How we'll define success:**
- Successful design and implementation of scalable and efficient data infrastructure
- Timely delivery and optimization of data assets and APIs
- High attention to detail in implementation of automated data quality checks
- Effective collaboration with cross-functional teams
**What we're looking for:**
- Production data engineering experience
- Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred
- Experience in delivering significant technical initiatives and building reliable, large scale services
- Experience in delivering APIs backed by relationship-heavy datasets
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Expertise in SQL for data manipulation and extraction
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science or a related field
- 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
- **Nice-to-haves:**
- Experience in adtech
- 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 table formats like Apache Iceberg, Delta
- Previous experience building out a Data Engineering function
- Proven experience working closely with Data Science teams on machine learning pipelines
**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
$123,696—$254,667 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._