Remote Data QA Engineer - AI-Driven Data Quality

Jobgether; Estado de México; Hybrid; MXN 300,000 - 700,000; Full time

Benefits offered by this job

Fully Remote Work

35 days of paid holidays per year

International Team

Innovative open-source technologies

Flexible Working Environment

Professional Growth

Job summary

Jobgether is seeking a Data QA Engineer based in Mexico to ensure data accuracy for web scraping and AI-assisted projects. You will own QA from early stages, design testing strategies, and collaborate with developers, PMs, QA leadership and customers.

You will use Python, SQL, and modern testing tools to validate data quality, build test plans, and contribute to test automation, while maintaining high-quality standards in a distributed, autonomous team.

Qualifications

• 5+ years in QA or data quality roles, preferably in software testing and validation.
• Strong Python skills, experience with data analysis and validation using Pandas/Jupyter.
• SQL knowledge to write queries and work with relational databases.
• Familiarity with web technologies (HTML, JSON, HTTP) and API testing.
• Experience in Agile environments (Scrum/Kanban) and collaboration with developers.
• Experience with AI/LLM tools applied to QA workflows is a plus.

Responsibilities

• Translate requirements into clear, measurable testing strategies for data extraction and web scraping projects.
• Design and execute test plans combining exploratory, manual, visual, and automated testing.
• Validate data accuracy, completeness, consistency, and reliability in extracted datasets.
• Identify, document, and report defects with clear reproduction steps for timely fixes.
• Apply statistics and visualizations to assess data quality and drift.
• Prepare test reports and quality scores for stakeholders and customers.
• Communicate coverage, limitations, and risks throughout QA activities.
• Collaborate with PMs and customers to clarify requirements and ensure testability.
• Contribute to QA automation framework development and test coverage improvements.
• Identify improvements to QA processes and tools, including UI testing solutions.

Skills

Python

SQL

Data quality

QA testing

Agile

Pandas

Jupyter Notebook

REST APIs testing

Scrapy

Tools

Pandas

Jupyter Notebook

REST APIs

Job description

Jobgether is seeking a Data QA Engineer based in Mexico to ensure data accuracy for web scraping and AI-assisted projects. You will own QA from early stages, design testing strategies, and collaborate with developers, PMs, QA leadership and customers.

You will use Python, SQL, and modern testing tools to validate data quality, build test plans, and contribute to test automation, while maintaining high-quality standards in a distributed, autonomous team.