Principal Data Engineer: Big Data Pipelines & ML

ZoomInfo; United States; On-site; USD 163,800 - 257,400; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

ZoomInfo is seeking an experienced Principal Software Engineer (Data) to lead technographic data services and build scalable data pipelines. You will shape architectures, process billions of signals, and collaborate with data scientists to integrate ML models.

The role requires deep experience with Hadoop, Spark, and JVM languages, and a track record delivering high-impact data solutions in a fast-paced environment. Salary is performance-based with comprehensive benefits.

Qualifications

• Extensive experience building and scaling big data pipelines and architectures from scratch.
• Deep expertise in Hadoop, Spark and JVM stack (Java, Scala).
• Strong software engineering fundamentals and high-quality code.
• Experience with entity recognition and NLP techniques is a plus.
• Proven track record delivering results in a fast-paced environment.
• Excellent collaboration and communication with data scientists, analysts and product teams.
• Passion for leveraging large datasets to generate insights.

Responsibilities

• Build and optimize big data pipelines to process signals from web and postings.
• Design data architectures and storage for massive data volumes.
• Collaborate with data scientists to integrate ML models into workflows.
• Improve data quality, performance, and scalability of the data platform.
• Drive technical strategy and roadmap for data processing infrastructure.

Skills

Big data pipelines

Hadoop

Spark

JVM stack

Java

Scala

NLP

Data-driven insights

Education

Bachelor's in CS/Engineering

Job description

ZoomInfo is seeking an experienced Principal Software Engineer (Data) to lead technographic data services and build scalable data pipelines. You will shape architectures, process billions of signals, and collaborate with data scientists to integrate ML models.

The role requires deep experience with Hadoop, Spark, and JVM languages, and a track record delivering high-impact data solutions in a fast-paced environment. Salary is performance-based with comprehensive benefits.