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Data QA Engineer - Remote

Zyte· Quality Assurance
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RemoteFull-timePosted 4d ago

About the role

Data QA Engineer at Zyte responsible for ensuring delivered data meets customer requirements by testing data produced by crawlers and AI-assisted projects, identifying issues early, and collaborating with PMs, clients, and developers to improve QA processes.

Responsibilities

  • Turn customer scraping and data requirements into a clear test approach and own QA from the start on new projects.
  • Combine exploratory manual and visual testing with automated tests where automation pays for itself.
  • Run test cycles on extracted data and report the results clearly.
  • Write up defects with enough detail that a developer can reproduce and fix them without a conversation.
  • Use descriptive statistics, summaries and charts to show how good the data is: completeness, accuracy, consistency and drift.
  • Produce test reports and quality scores that give the team, and the customer where needed, a true picture.
  • Say what was tested, what was not, and what risk that leaves.
  • Work with project managers and clients to clear up unclear or untestable requirements before QA begins.
  • Feed into our test automation framework, with a focus on coverage and performance.
  • Suggest and take ownership of improvements to QA process and tooling, including browser add-ons, spreadsheet add-ons and UI-based test automation tools.
  • Work with QA leadership, project managers and developers, with minimal supervision.

Qualifications

  • 5+ years in a QA Engineer or similar role - testing software or data.
  • Python preferred language - Pandas and Jupyter for data analysis and validation.
  • SQL: basic to intermediate queries, and comfort with at least one relational database and its tools.
  • A solid grasp of web technologies and protocols: HTML, XPath, JSON, HTTP and CSS.
  • Experience writing tests against HTTP/REST APIs.
  • Proactive and detail-oriented QA professional with a strong sense of ownership over project quality.
  • Fast learner adept at rapidly understanding complex project domain requirements and adapting to new technologies.
  • Leveraging AI and LLM tools to optimize test case generation and accelerate data validation processes.
  • Good test case design and test data management.
  • Experience working in an agile team (Scrum or Kanban) alongside developers.
  • An understanding of data quality concepts such as completeness, accuracy, consistency and drift.
  • Strong attention to detail, and the confidence to hold the quality line under delivery pressure.
  • Clear written and spoken communication in English.

Skills

Required:QA engineeringPythonSQLWeb technologiesAPIs testing
Nice to have:Test automation

Benefits

  • 35 days paid holidays
  • Freedom and flexibility to work from anywhere
  • Work with cutting-edge open source technologies and tools
  • Become part of a self-motivated, progressive, multi-cultural team
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Zyte

Full-Stack Web Scraping API & Data Extraction Services

Home of the all-in-one, AI-powered web scraping platform, and a world-class data delivery team. Your devs or ours?

Web scrapingData extractionAPIsAIAutomationLegal complianceData feedsData projects
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