Remote Data Quality Engineer — Flexible Hours

BairesDev

Chile

Presencial

CLP 46.641.791 - 74.626.865

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive USD salary
Hardware provided
Flexible hours

Descripción de la vacante

BairesDev is hiring a Data Quality Engineer to design automated QA checks, monitor data pipelines, and ensure data accuracy across AI-enabled environments. Work with data engineers and AI specialists to identify root causes and implement fixes.

The role requires 4+ years in data quality, strong SQL skills, API experience, and excellent English. This is a 100% remote position with competitive USD-based compensation and a globally distributed team.

Formación

  • 4+ years in Data Quality Engineering or a related role.
  • Experience ensuring data accuracy and integrity across data systems.
  • Proficiency in writing complex SQL queries for data validation.
  • Hands-on experience with APIs and AI technologies (Azure AI Search/OpenAI).
  • Strong background in combining automated and manual QA processes.

Responsabilidades

  • Design and implement automated data quality checks and validation rules using SQL and APIs.
  • Monitor data pipelines for inconsistencies, anomalies, and missing information in Azure AI Search and OpenAI environments.
  • Develop and maintain test suites to verify data accuracy and formatting across the data lifecycle.
  • Collaborate with data engineers and AI specialists to identify root causes and corrective actions.
  • Establish and enforce data quality standards and governance policies to ensure referential integrity.
  • Create detailed documentation for audit processes and quality improvements to track recurring data gaps.

Conocimientos

SQL proficiency
Data QA
English proficiency
API testing
Data quality

Herramientas

Azure AI Search
OpenAI

Descripción del empleo

BairesDev is hiring a Data Quality Engineer to design automated QA checks, monitor data pipelines, and ensure data accuracy across AI-enabled environments. Work with data engineers and AI specialists to identify root causes and implement fixes.

The role requires 4+ years in data quality, strong SQL skills, API experience, and excellent English. This is a 100% remote position with competitive USD-based compensation and a globally distributed team.

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