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Dice.com | ZoomInfo Technologies LLC

Senior Software Engineer, Data Infrastructure

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Job Description

Senior Software Engineer, Data Infrastructure

Skills

  • WINS
  • Writing
  • Shipping
  • Data Quality
  • FOCUS
  • Collaboration
  • Data Extraction
  • IaaS
  • Operational Excellence
  • Data Science
  • Documentation
  • Knowledge Sharing
  • Concurrent Computing
  • Data Engineering
  • Data Warehouse
  • ELT
  • Orchestration
  • Streaming
  • Amazon Web Services
  • Cloud Computing
  • Problem Solving
  • Conflict Resolution
  • Search Engines
  • Extraction
  • Language Models
  • HTML
  • Java
  • Python
  • Apache Kafka
  • Google Cloud
  • Google Cloud Platform
  • Vertex
  • Snow Flake Schema
  • Terraform
  • Web Scraping
  • Proxies
  • Management
  • Kubernetes
  • Apache Airflow
  • Extract
  • Transform
  • Load
  • Software Engineering
  • Operating Systems
  • Algorithms
  • Data Structure
  • Business-to-business
  • Business Intelligence
  • Data Acquisition
  • Pivotal
  • IT Management
  • Augmented Reality
  • Training
  • Google Tag Manager (GTM)
  • Go-To-Market Strategy
  • Artificial Intelligence
  • Privacy
  • Auditing
  • Recruiting
  • Military
  • Legal
  • Law
  • WINS
  • Writing
  • Shipping
  • Data Quality
  • FOCUS
  • Collaboration
  • Data Extraction
  • IaaS
  • Operational Excellence
  • Data Science
  • Documentation
  • Knowledge Sharing
  • Concurrent Computing
  • Data Engineering
  • Data Warehouse
  • ELT
  • Orchestration
  • Streaming
  • Amazon Web Services
  • Cloud Computing
  • Problem Solving
  • Conflict Resolution
  • Search Engines
  • Extraction
  • Language Models
  • HTML
  • Java
  • Python
  • Apache Kafka
  • Google Cloud
  • Google Cloud Platform
  • Vertex
  • Snow Flake Schema
  • Terraform
  • Web Scraping
  • Proxies
  • Management
  • Kubernetes
  • Apache Airflow
  • Extract
  • Transform
  • Load
  • Software Engineering
  • Operating Systems
  • Algorithms
  • Data Structure
  • Business-to-business
  • Business Intelligence
  • Data Acquisition
  • Pivotal
  • IT Management
  • Augmented Reality
  • Training
  • Google Tag Manager (GTM)
  • Go-To-Market Strategy
  • Artificial Intelligence
  • Privacy
  • Auditing
  • Recruiting
  • Military
  • Legal
  • Law
  • SummaryZoomInfo is w 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.



The OpportunityWe're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure.



This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform.



You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration.



What You'll DoAs a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data.



You will:
  • Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
  • Write clean, production-grade code in Java and Python
  • Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
  • Work with cloud infrastructure on Google Cloud Platform and AWS, primarily on GKE
  • Improve observability, reliability, and operational excellence across the systems you contribute to
  • Partner with product and data science teams to deliver impactful solutions
  • Contribute to code reviews, documentation, and knowledge sharing across the team
  • Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approachesMust-Have QualificationsWe're prioritizing strong software engineering fundamentals over deep crawling-specific experience.

The right candidate is a great engineer first; the domain can be learned on the team.



Software Engineering Fundamentals

  • 5+ years of professional software engineering experience building production systems
  • Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems
  • Proficiency in Java and/or Python
  • Track record of owning features end-to-end from design through deployment and operation
  • Comfortable making sound architectural decisions at the component levelData Engineering
  • Hands-on experience with cloud data warehouses such as BigQuery or Snowflake
  • Experience designing and operating large-scale ETL/ELT pipelines
  • Experience with orchestration tools such as Apache Airflow
  • Experience with streaming or event-driven systems such as Apache KafkaCloud and Infrastructure
  • Production experience on Google Cloud Platform (preferred) or AWS; multi-cloud exposure is a plus
  • Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads
  • Familiarity with infrastructure-as-code tooling such as TerraformBackground and Mindset
  • Strong communicator who can explain technical decisions clearly
  • Comfortable operating in ambiguity and iterating quickly
  • Bias toward action and pragmatic problem solving
  • Self-starter who thrives in fast-paced, evolving environmentsNice to Have
  • Experience with web crawling at scale (Scrapy or similar frameworks)
  • Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques
  • Experience extracting structured and unstructured web data from diverse site architectures
  • Knowledge of SERP (Search Engine Results Page) extraction
  • Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale
  • Experience working in a B2B data company or data-as-a-product environmentCore Technical Stack
  • Java and Python
  • Apache Kafka
  • Google Cloud Platform (BigQuery, GKE, Vertex AI)
  • Snowflake and Starburst/Trino
  • Terraform
  • Scrapy and web scraping frameworks
  • Proxy management systems
  • Distributed systems and Kubernetes
  • Apache Airflow
  • Large-scale ETL pipelinesIdea.

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