6 months ago
Base Salary
$112k - $176k/yr
Responsibilities
- Build and optimize big data pipelines that extract and process signals from the web, job postings, and other sources.
- Design and implement data architectures and storage solutions for massive data volumes.
- Collaborate with data scientists to support and integrate ML models into data workflows.
- Improve the data quality, performance, and scalability of the technographic data platform.
- Drive technical strategy and the roadmap for data processing infrastructure.
Requirements
- 5+ years of experience in software engineering roles.
- Extensive experience building and scaling big data pipelines and architectures from scratch.
- Deep expertise with Hadoop, Spark, Java, and Scala.
- Strong software engineering fundamentals and ability to write efficient, high-quality code.
- Experience working with very large datasets and distributed systems.
- Familiarity with building data pipelines at large technology companies or data-driven organizations.
- A bachelor's or advanced degree in Computer Science, Engineering, or a related technical field.
- Experience with entity recognition and NLP techniques is a plus.
- Proven ability to deliver results and drive projects in a fast-paced environment.
- Strong collaboration and communication skills for working with data scientists, analysts, and product teams.
Benefits
- Hybrid work arrangement.
- Comprehensive employee and family benefits.
- Holistic mind, body, and lifestyle well-being programs.
Tech Stack
Categories
BackendData Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.