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BairesDev is seeking a Senior Data QA Engineer to validate data quality across ingestion, transformation, and search pipelines. You will assess data accuracy in unstructured sources becoming structured, and ensure search results reflect correct data behavior.
You will leverage SQL, ETL and API testing skills, validate multi-source inputs such as email/calendar scraping, and perform exploratory and functional QA across end-to-end workflows in a fully remote environment, collaborating with a
At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
In this role, you'll validate data quality across ingestion and search pipelines, ensuring that data flowing from unstructured sources into structured systems remains accurate and reliable. Testing APIs and stored procedures that directly impact search behavior, you'll bring rigorous QA discipline to systems where data quality directly shapes what users find. This is your opportunity to apply deep SQL and testing expertise to a genuinely complex data quality challenge, spanning ingestion, transformation, and search.
Join a global team where your unique talents can truly thrive and make a significant impact!