Data QA Engineer

Zyte

. Turn customer scraping and data requirements into a clear test approach and own QA from the start on new projects.

Posted 10/18/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in QA processes, including test case design, data validation, and automation using Python and SQL. Proficient in data quality concepts and effective communication with stakeholders to ensure clarity in testing requirements.

Highest-signal resume keywords

QA EngineeringPython ProgrammingSQL QueryingTest Automation FrameworksData Quality Concepts

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Test Case DesignData ValidationExploratory TestingAutomated TestingHTTP/REST API TestingData AnalysisWeb TechnologiesScrapy FrameworkAgile MethodologiesAttention to Detail

Soft Skills

Clear CommunicationProblem-SolvingCollaboration

Tools & Technologies

PandasJupyterScrapyTest Automation ToolsBrowser Add-Ons

Industry Keywords

Data QualityAgileScrumKanbanData Analysis

Tech Stack

Tools & technologies

PandasPythonSQL

About the role

Key responsibilities & impact

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 the 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.

Requirements

What you’ll need

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.
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.
Working knowledge of Scrapy and other Python-based scraping frameworks.
Experience with test automation frameworks.
Interest in data science concepts as they apply to data analysis and validation.
Interest in using AI and LLM tools to speed up data validation.

Benefits

Comp & perks

Become part of a self-motivated, progressive, multi-cultural team.
Have the freedom and flexibility to work from where you do your best work.
Work with cutting-edge open source technologies and tools.
35 days paid holidays