Key Facts

Remote From:

Armenia, Spain, Latin America

Full time

Mid-level (2-5 years)

English

Hard Skills

Regression Testing SQL (Programming Language) Data Architecture Data Validation Data-Centric Testing Software Metrics Test Design Data Validation Software Documentation Analytics Data Comparison Data Quality Assessment Test Automation Stakeholder Communications

Other Skills

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Communication
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Teamwork
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Proactivity
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Detail Oriented
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Logical Reasoning

Roles & Responsibilities

2+ years in a QA, Data QA, or Platform Testing role
Hands-on SQL for data validation, comparisons, and logic checks
Experience testing data platforms, pipelines, or automated metrics
English: Upper-Intermediate to Advanced; able to clearly explain data issues to US-based stakeholders

Requirements:

Validate automated data outputs and metrics against defined business and transformation logic
Use SQL to verify data correctness, compare datasets, and detect inconsistencies
Design and execute test cases for data pipelines and platform logic
Identify and document data quality issues and communicate findings to data and engineering teams

Prometeo Talent - Recruitment services for high-growth tech companies.

About Prometeo Talent - Recruitment services for high-growth tech companies.

At Prometeo Talent, we understand the transformative power of the right talent in tech. We believe that outstanding talent is everywhere, waiting to be tapped, and we’re here to bridge that connection. With us, it's more than just hiring – it's about growth, ambition, and turning visions into reality. Every business has its distinct story. Whether you're a buzzing tech startup in cities like Vancouver or Barcelona or a major force in places like Silicon Valley, our mission is to find the individuals who amplify your vision. Why Choose Prometeo Talent? ✅ Worldwide Talent, Local Touch: Rooted in major tech cities, our reach spans the globe. Whether you need local expertise or a global perspective, we’re on it. ✅ Building Real Bonds: We’re about lasting partnerships, transparency, and trust. With us, recruitment goes beyond a process; it becomes a genuine relationship. ✅ Tailored to Your Story: In tech, no two journeys are the same. We dive deep into your narrative, ensuring the talent we bring aligns seamlessly. ✅ Uncompromising Quality: We connect you to the best, every single time. From emerging voices to seasoned experts, discover the difference of top-tier talent. 🌟 Quality Without Compromise: For tech visionaries unwilling to settle, experience the unique blend of world-class talent and cost-efficiency with Prometeo. 🔄 Uninterrupted Productivity: With us, propel your ideas 24/7 by leveraging strategic time zones, ensuring your operations never hit a pause. 🛠 Strategic, Tailored Talent Solutions: We don’t just place talent. We deep dive, crafting solutions attuned to your challenges, resonating with both your local needs and global tech trends. Determined to boost your tech journey? Connect with Prometeo Talent, and together, let's redefine growth and success. Dive into a recruitment experience like no other.

Founded: 2018

Company size: 11 - 50

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Job description

About Us

Prometeo Talent is a recruitment firm with a strong presence across the Americas and Europe. We specialize in connecting companies with outstanding tech and data professionals.

We’re partnering with a U.S.-based company focused on marketing effectiveness measurement across multiple channels. They build internal data platforms that generate automated metrics and standardized data outputs used across the organization.

We’re looking for a QA – Data Quality / Platform Tester to join their global Data & Platform team. This role focuses on validating the correctness and consistency of automated data outputs across the platform.

What You Will Do

Validate automated data outputs and metrics against defined business and transformation logic
Use SQL to verify data correctness, compare datasets, and detect inconsistencies
Design and execute test cases for data pipelines and platform logic
Maintain regression checks to identify unintended changes in data calculations
Identify and document data quality issues and communicate findings to data and engineering teams
Ensure reliable data releases

Requirements

Experience: 2+ years in a QA, Data QA, or Platform Testing role
SQL: Hands-on experience using SQL for data validation, comparisons, and logic checks
Data QA: Experience testing data platforms, pipelines, or automated metrics
English: Upper-Intermediate to Advanced; able to clearly explain data issues to US-based stakeholders
Mindset: Detail-oriented, logical, proactive, and quality-focused

Nice to Have

Experience automating data tests or regression checks
Familiarity with data quality or testing frameworks
Experience validating analytics or BI outputs

Why Join Us?

🏖️ 10 days of PTO
🗓️ US Holidays
🌍 100% remote work
🧪 Ownership of data quality in a production platform
🤝 Collaboration with a global, data-focused team