Similar Jobs
.png)
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.
We are seeking an experienced Principal Data Engineer to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.
What You’ll Do:Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources.
Design and implement data architectures and storage solutions to efficiently handle massive data volumes.
Collaborate closely with data scientists to support and integrate ML models into data workflows.
Continuously improve data quality, performance, and scalability of our technographic data platform.
Drive technical strategy and roadmap for the data processing infrastructure.
Extensive experience building and scaling big data pipelines and architectures from scratch.
Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala).
Strong software engineering fundamentals and ability to write efficient, high-quality code.
Experience with entity recognition and NLP techniques is a plus.
Proven track record of delivering results and driving projects in a fast-paced environment.
Excellent collaboration and communication skills to work with data scientists, analysts, and product teams.
Passion for leveraging huge datasets to power valuable insights.
8+ years of experience in data engineering roles.
Experience working with very large datasets and distributed systems.
Familiarity with building data pipelines at large tech companies or data-driven organizations.
Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical field.
This is a unique opportunity to get in on the ground floor of building out a critical new data capability. You’ll have significant impact and autonomy to shape the future of technographics at a rapidly growing company. We offer competitive compensation, excellent benefits, and the chance to work with talented people on a disruptive product.
Join us and help take our data and insights to the next level!
The US base salary range for this position is $179,840 - $247,280 + variable compensation + benefits.
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.
#LI-
#LI-Hybrid
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.
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 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.
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.
ZoomInfo San Francisco, California, USA Office
425 California St. Suite 410 , San Francisco, CA, United States, 94101
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
