Principal Software Engineer - Data
Principal-level engineer on ZoomInfo's technographic data team, driving technical strategy and building/scaling big data pipelines and architectures (Hadoop, Spark, Java/Scala) that process billions of web and job-posting signals, while integrating ML models with data scientists.
- Compensation
- $163.8K–$257.4K / yr
- Location
- Toronto, Canada
- Work setup
- Remote
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Extensive experience building and scaling big data pipelines and architectures from scratch
- Deep expertise in big data frameworks (Hadoop, Spark)
- Deep expertise in the JVM stack (Java, Scala)
- Strong software engineering fundamentals and ability to write efficient, high-quality code
- Proven track record delivering results and driving projects in a fast-paced environment
- Excellent collaboration and communication skills to work with data scientists, analysts and product teams
- 10+ years of experience in software engineering roles
- Experience working with very large datasets and distributed systems
- Bachelor's or advanced degree in Computer Science, Engineering or related technical field
Nice to have
- Experience with entity recognition and NLP techniques
- Familiarity building data pipelines at large tech companies or data-driven organizations
Full description
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 Principal Software Engineer (Data) 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.
What We're Looking For:
- 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 a plus
- Proven track record 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.
Ideal Background:
- 10+ years of experience in software engineering roles.
- Experience working with very large datasets and distributed systems
- Familiarity building data pipelines at large tech companies or data-driven organizations
- Bachelor's or advanced degree in Computer Science, Engineering or related technical field.
#LI-SK1
#LI-Remote