Remote Data Quality Engineer | AI & Data Pipelines

BairesDev; Colombia; Presencial; COP 286.250.000 - 477.084.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

USD compensation

Home office hardware

Flexible hours

Parental leave

Paid vacations

Mentorship program

Descripción de la vacante

Data Quality Engineer at BairesDev is a fully remote role where you will design and implement automated data quality checks, validate data pipelines, and collaborate with AI specialists to improve data accuracy across the lifecycle.

The role requires 4+ years in data quality/QA, strong SQL, API experience, and hands-on work with Azure AI Search and OpenAI. Excellent English is essential, with global collaboration and growth opportunities.

Formación

• 4+ years of experience in Data Quality Engineering or similar role.
• Proven expertise in ensuring data accuracy through validation and testing.
• Proficiency in writing complex SQL queries for data analysis and verification.
• Hands-on experience with APIs and AI technologies such as Azure AI Search or OpenAI.
• Strong background in combining automated and manual QA processes for data systems.
• Advanced proficiency in English.

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, completeness, and formatting across the data lifecycle.
• Collaborate with data engineers and AI specialists to identify root causes of data issues and implement 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.

Descripción del empleo

Data Quality Engineer at BairesDev is a fully remote role where you will design and implement automated data quality checks, validate data pipelines, and collaborate with AI specialists to improve data accuracy across the lifecycle.

The role requires 4+ years in data quality/QA, strong SQL, API experience, and hands-on work with Azure AI Search and OpenAI. Excellent English is essential, with global collaboration and growth opportunities.