高级软件工程师
Senior Software Engineer
ZoomInfo 是职业加速的地方。我们行动迅速，敢于思考，并赋能你完成一生中最好的工作。你将与关心彼此、互相挑战并庆祝胜利的队友们一起工作。凭借能放大你影响力的各种工具和支撑你抱负的文化，你不仅仅是在贡献。你将快速实现目标。
**职位简介**
我们正在寻找一位经验丰富的 **高级软件工程师** 加入 ZoomInfo 的协作 **人员数据团队**。在这一职位上，你将构建和改进处理碎片化数据的高吞吐量 Java 后端系统，并将其转化为准确、可靠的联系人资料。
人员数据团队负责创建驱动 ZoomInfo 应用程序的主联系人数据实体。我们的系统支持大约 **4 亿个联系人资料**，并解决涉及实体解析、属性选择、数据质量和联系人发布的复杂问题。
这是一个参与高度影响的数据基础设施的机会，提升 ZoomInfo 联系人数据的准确性，并帮助解决涉及大规模分布式系统的挑战性问题。
**你将负责**
- 使用 Java 构建、增强和优化高吞吐量的后端服务和数据处理系统。
- 处理和转换大量碎片化、损失性的数据，生成准确的联系人实体。
- 设计并实现用于实体解析、属性选择和联系人发布的可扩展解决方案。
- 通过帮助识别过时的工作并确定联系人是否不再与公司相关，提高就业准确性。
- 通过改进数据片段正确分组到个人联系人资料的方式，解决过度组合的问题。
- 开发规则、测试框架和可扩展的方法，以推断数据质量而无需依赖全面的手动审核。
- 与支持约 4 亿个联系人资料的系统和服务合作。
- 与数据科学家合作，参与涉及数据质量、资料分析和实体解析的长期项目。
- 与数据工具、匹配、公司和其他数据工程团队合作，交付跨功能的解决方案。
- 为人员数据平台的技术战略、架构、代码质量、性能和可扩展性做出贡献。
- 参与冲刺计划，并根据你的专业知识和想要发展的领域独立选择工作。
**我们寻找**
- 丰富的专业经验
查看英文原文
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
**About the Role**
We are seeking an experienced **Senior Software Engineer** to join ZoomInfo’s collaborative **Person Data team**. In this role, you will build and improve high-throughput Java backend systems that process fragmented data at massive scale and transform it into accurate, reliable contact profiles.
The Person Data team is responsible for creating the master contact data entity that powers ZoomInfo’s applications. Our systems support approximately **400 million contact profiles** and solve complex challenges involving entity resolution, attribute selection, data quality, and contact publication.
This is an opportunity to work on highly impactful data infrastructure, improve the accuracy of ZoomInfo’s contact data, and help solve challenging problems involving large-scale distributed systems.
**What You’ll Do**
- Build, enhance, and optimize high-throughput backend services and data-processing systems using Java.
- Process and transform large volumes of fragmented, lossy data into accurate contact entities.
- Design and implement scalable solutions for entity resolution, attribute selection, and contact publication.
- Improve employment accuracy by helping identify stale jobs and determine when contacts are no longer associated with a company.
- Help address over-combination issues by improving how data fragments are correctly grouped into individual contact profiles.
- Develop rules, testing frameworks, and scalable approaches to infer data quality without relying on exhaustive manual review.
- Work with systems and services that support approximately 400 million contact profiles.
- Collaborate with data scientists on longer-term initiatives involving data quality, profiling, and entity resolution.
- Partner with Data Tools, Match, Company, and other data engineering teams to deliver cross-functional solutions.
- Contribute to technical strategy, architecture, code quality, performance, and scalability across the Person Data platform.
- Participate in sprint planning and independently select work based on your expertise and areas you want to develop.
**What We’re Looking For**
- Significant professional experience in software engineering, with strong experience building backend systems.
- Deep expertise in **Java** and strong software engineering fundamentals.
- Experience designing, building, and scaling high-throughput or distributed systems.
- Experience working with large-scale data-processing pipelines and big data systems.
- Experience with **Kafka** or similar event-streaming technologies.
- Ability to write efficient, reliable, maintainable, and well-tested code.
- Experience modifying and improving existing production systems, including complex or legacy codebases.
- Strong problem-solving skills and an ability to develop scalable rules, testing frameworks, and data-quality solutions.
- Excellent collaboration and communication skills.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
**Nice to Have**
- Experience with **GCP** or **GCS**.
- Experience with **BigQuery**.
- Experience with **Solr** or **Elasticsearch**.
- Familiarity with entity resolution, match-merge systems, record linkage, or data deduplication.
- Experience working with employment, professional, CRM, or other contact-related data.
- Experience with lossy, incomplete, or fragmented datasets.
- Experience partnering with data science teams to integrate analytical or machine learning initiatives into production workflows.
- Experience in ad tech, CRM, marketing technology, or another high-volume, data-driven environment.
#LI-AR27
#LI-REMOTE
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits [here](https://www.zoominfo.com/careers#benefits).
Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
$140,000—$220,000 USD
**About us:**
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant [Privacy Notice](https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link) for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available [here](https://www.zoominfo.com/legal/nyc-local-law-144-notice).
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.