远程工作雷达

资深软件工程师, 大数据存储

Staff Software Engineer, Big Data Storage

开发工程限定地区(需当地身份)
公司Pinterest
薪资未公开
工作地点Palo Alto, CA, US; Remote, US
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间2025-12-17
数据来源Greenhouse
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Palo Alto, CA, US; Remote, US 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

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,并规划将伴随一生的回忆。在Pinterest,我们的使命是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每一个人。

在这里,开启一份能点燃创新、将热情转化为成长机会、庆祝彼此独特经历并拥抱灵活工作方式的职业。创造你热爱的职业?这完全可能。

在Pinterest,AI不仅仅是功能,更是增强我们创造力和扩大影响力的强大伙伴,我们正在寻找渴望成为其中一员的候选人。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,更体现你的思维方式。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的信息。

我们正在寻找一名资深软件工程师,帮助构建Pinterest下一代大数据存储平台。你将参与一些最令人兴奋的大数据开源技术——尤其是Apache Iceberg——在艾字节规模下,为数据基础设施提供支持,帮助Pinners发现他们喜爱的事物。

作为资深软件工程师,你将成为技术领导者和实际贡献者,设计和构建可高度扩展的存储系统,用于Pinterest的数据湖。你将与数据、ML/AI、分析和基础设施团队紧密合作,推动存储和元数据管理能力的发展,实现大规模数据的高效、可靠和受控访问。

你会负责:

  • 设计、实现和优化Pinterest的艾字节级数据湖存储平台。
  • 领导数据湖存储和元数据管理的复杂技术项目和计划,从架构到执行全程推动。
  • 与组织内的利益相关者和合作团队协作,设计能够释放大数据和ML/AI创新的存储和元数据层技术。
  • 构建高效支持大规模ML/AI工作负载的存储能力,包括高吞吐量的数据访问、模式演进和大规模列回填。
  • 制定长期的技术方向
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 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.

We’re looking for a Staff Software Engineer to help build the next generation of Pinterest’s big data storage platform. You’ll work on some of the most exciting big data open source technologies — especially Apache Iceberg — at exabyte scale to power the data infrastructure that helps Pinners discover and do what they love.

As a Staff Software Engineer, you’ll serve as a technical leader and hands-on contributor, designing and building highly scalable storage systems for Pinterest’s data lake. You’ll partner closely with teams across data, ML/AI, analytics, and infrastructure to evolve our storage and metadata management capabilities, enabling efficient, reliable, and governed access to data at massive scale.

What you’ll do:

  • Design, implement, and optimize Pinterest’s exabyte-scale data lake storage platform.
  • Lead complex technical projects and initiatives for data lake storage and metadata management, driving them from architecture through execution.
  • Collaborate with stakeholders and partner teams across the organization to design storage and metadata layer technologies that unlock big data and ML/AI innovations.
  • Build storage capabilities that efficiently support large-scale ML/AI workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Shape the long-term technical direction for scalable, reliable, and efficient big data storage systems.
  • Engage with and contribute to open source communities such as Apache Iceberg, Spark, and Flink to help address Pinterest’s scaling challenges.

What we’re looking for:

  • 8+ years of relevant industry experience designing and building large-scale production distributed systems.
  • Strong experience designing and maintaining scalable storage, metadata, or data lake infrastructure.
  • Experience building storage capabilities for large-scale ML/AI or analytics workloads, including high-throughput data access, schema evolution, and large-scale column backfills.
  • Deep knowledge with building distributed systems, data storage systems, and production infrastructure.
  • Experience with big data technologies such as Apache Iceberg, Spark, Flink, Presto/Trino, Hive, or similar systems.
  • Proficiency in programming languages like Java, Scala, or Python.
  • Proven ability to lead complex technical initiatives and influence architecture across teams.
  • Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence and innovation.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-AH2
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.

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 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.

本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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