Data QA Engineer - Remote

Zyte; Brasil; Remote; BRL 180,000 - 240,000; Full time

Benefits offered by this job

35 days paid holidays

Job summary

Zyte is hiring a Data QA Engineer to validate data from spiders and AI-assisted projects against customer requirements. You will design test strategies from the start, combine manual and automated testing, run data-quality assessments, and clearly document defects for rapid fixes.

We value strong Python (Pandas/Jupyter), SQL, and API testing expertise in an agile setting. Enjoy the freedom to work remotely from anywhere with 35 days of holidays and a collaborative global team.

Qualifications

• 5+ years in a QA Engineer or similar role
• Python preferred language with Pandas/Jupyter for data analysis
• SQL: basic to intermediate queries and relational DB skills
• Solid grasp of HTML, XPath, JSON, HTTP, CSS
• Experience testing against HTTP/REST APIs
• Good test case design and data management
• Experience in agile teams (Scrum/Kanban)
• Understanding of data quality concepts: completeness, accuracy, drift
• Clear written and spoken English

Responsibilities

• Turn customer scraping requirements into a clear test approach
• Combine exploratory testing with automated tests where beneficial
• Run test cycles on extracted data and report results clearly
• Write defects with reproducible steps for developers
• Use statistics and charts to show data quality and drift
• Produce test reports and quality scores for team/customer
• Clarify tested scope and remaining risks before QA begins
• Contribute to QA automation framework and tooling
• Collaborate with PMs and developers with minimal supervision

Skills

Python

Pandas

Jupyter

SQL

HTTP/REST APIs

Web tech basics (HTML, XPath, JSON,CSS

Test design

Agile/Scrum

Data quality concepts

Communication in English

Tools

Scrapy

Test automation frameworks

Job description

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

Role Overview

Data QA is how we make sure the data we deliver is right before the customer sees it. As a Data QA Engineer, you will check the data our spiders and AI-assisted projects produce against what the customer asked for, find what is wrong and tell the team exactly what you found. Quality assurance is more useful as a question asked at the start than a gate at the end. Is this requirement testable and how would we know if it were wrong? Part of this role is asking that question early, so problems are fixed before they reach the customer.

Key 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.

Requirements

• 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.

Nice to Have

• 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.

As a new Zytan, you will

• 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.

Benefits

• 35 days paid holidays