This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data QA Engineer based in Mexico.

As a Data QA Engineer, you will play a key role in ensuring the accuracy, completeness, and reliability of data delivered to customers.
You will work with web data extraction projects and AI-assisted solutions, translating customer requirements into clear, measurable quality standards.
Rather than treating quality assurance as a final checkpoint, you will help identify potential issues early and prevent defects before they reach production.
Combining exploratory testing, data analysis, and automation, you will investigate anomalies and provide actionable insights to developers and project teams.
You will use Python, SQL, and modern testing tools to assess data quality and communicate results through meaningful reports, metrics, and visualizations.
Working closely with project managers, developers, and clients, you will have the autonomy to improve testing processes and strengthen quality practices.




This is an opportunity to join a globally distributed, multicultural team that values ownership, continuous improvement, and adaptable ways of working.

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Accountabilities:

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Translate customer data extraction and web scraping requirements into clear, testable criteria and comprehensive QA strategies, taking ownership of quality assurance from the beginning of new projects.

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Perform exploratory, manual, and visual testing, complemented by automated testing where it provides measurable value.

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Execute test cycles on extracted datasets to validate compliance with customer specifications and identify inconsistencies, inaccuracies, missing information, and other defects.

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Document defects clearly and thoroughly, providing reproducible steps and supporting evidence so developers can investigate and resolve issues efficiently.

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Apply descriptive statistics, data summaries, and visualizations to assess co

📌 Data QA Engineer (México)
🏢 Jobgether
📍 México