Data QA Engineer

Employment Type: Full-time Location Type: Remote Department: Engineering Published: 2025-07-15

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Position Overview

We are seeking a skilled Data QA Engineer to join our data engineering team. This role focuses on ensuring the accuracy, integrity, and reliability of our data across Snowflake and AWS-based data platforms. You will work with cloud data lakes, pipelines, and platform components, validating transformations, verifying data flows, and contributing to automation frameworks. While this is a data-focused role, experience with automation tools like Playwright and scripting in Python will be valuable for driving quality across both data pipelines and the user-facing layers of our data platforms.

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Key Responsibilities

• Design and execute test cases to validate data pipelines and transformations in Snowflake and AWS Data Lake environments.
• Perform data validation, reconciliation, and integrity checks using SQL and custom scripts.
• Test Python-based ETL/ELT pipelines, ensuring accuracy, error handling, and performance.
• Implement and maintain automated testing frameworks, with a focus on Playwright for UI components (e.g., dashboards, data interfaces).
• Collaborate with data engineers and platform teams to test infrastructure setup, configuration, and access control.
• Log and triage defects, and support teams through resolution and release.
• Contribute to QA strategies and test plans across the broader data and platform teams.

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Requirements

What You Bring:

• Proven experience in data-focused QA roles, ideally working with cloud-based data ecosystems.
• Strong SQL skills for data analysis and validation across large datasets.
• Experience testing pipelines and scripting with Python.
• Familiarity with Snowflake, AWS Data Lake services (S3, Glue, Athena), or similar platforms.
• Working knowledge of test automation, including experience with Playwright or similar frameworks (e.g., Cypress, Selenium).
• Solid understanding of both backend data workflows and front-end interfaces used to access and visualize data.
• Excellent attention to detail and a methodical approach to problem-solving.

Nice to Have:

• Familiarity with data orchestration tools like Airflow or dbt.
• Experience with CI/CD pipelines in a data engineering or QA context.
• Exposure to data governance, observability, or compliance requirements.
• Experience testing data APIs, dashboards, or analytics platforms.

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Benefits

• Comprehensive Health Insurance.
• Flexible working hours and a generous holiday policy.
• Profit-sharing opportunities.
• Annual company retreats, sports activities, and interest groups.
• Training & Conferences for personal development.
• Childcare support through vouchers.
• A collaborative, politics-free team environment with ownership and autonomy.

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Compensation

• Maximum Monthly Gross Salary: 70,000,000 VND.
• Final offers will be based on experience and alignment with the role's requirements.

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About Mindera

At Mindera, we leverage technology to build products we take pride in, alongside a team we genuinely enjoy working with. Our expertise includes developing high-performance, resilient, and scalable software systems for renowned global brands. Our work culture is rooted in collaboration, innovation, and a commitment to continuous learning.

With offices located across Portugal, the UK, the USA, Australia, India, Romania, and Brazil, join us as we expand and influence the future of software engineering worldwide. We take pride in nurturing an inclusive, streamlined, and self-managed work environment that promotes freedom, accountability, and ongoing feedback.