ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Design and implement scalable, fault-tolerant web crawling and extraction pipeline components.
  • Write production-grade code in Java and Python.
  • Build and operate large-scale ETL and ELT pipelines for data extraction and transformation.
  • Work with cloud infrastructure on GCP and AWS, primarily on GKE.
  • Improve observability, reliability, and operational excellence across the systems you own.
  • Partner with product and data science teams to deliver technical solutions.
  • Contribute to code reviews, documentation, and knowledge sharing.
  • Stay current with web technologies, anti-crawling mechanisms, and AI-powered extraction approaches.

Requirements

  • 5+ years of professional software engineering experience building production systems.
  • Strong computer science fundamentals in algorithms, data structures, concurrency, and distributed systems.
  • Proficiency in Java and/or Python.
  • Track record of owning features end-to-end from design through deployment and operation.
  • Experience designing and operating large-scale ETL/ELT pipelines.
  • Hands-on experience with cloud data warehouses such as BigQuery or Snowflake.
  • Experience with orchestration tools such as Apache Airflow.
  • Experience with streaming or event-driven systems such as Apache Kafka.
  • Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus.
  • Hands-on experience with Kubernetes (GKE/EKS) and familiarity with infrastructure-as-code tools such as Terraform.
  • Nice-to-have experience with web crawling at scale, including Scrapy or similar frameworks.
  • Nice-to-have familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques.
  • Nice-to-have experience extracting structured and unstructured web data from diverse site architectures.
  • Nice-to-have knowledge of SERP extraction and AI/LLM-based extraction approaches.
  • Experience working in a B2B data company or data-as-a-product environment is a strong plus.

Benefits

  • US base salary of $140,000 to $220,000.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle programs focused on well-being.
  • Remote work designation indicated by LI-REMOTE.

Interested in this position?

Apply directly on the company website

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