Remote Senior Data Reliability Engineer - Data Quality

BairesDev; Sucre; A distancia; COP 279.677.000 - 466.128.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work (global)

Competitive USD compensation

Hardware and software provided

Flexible hours

Paid parental leave

Vacations and national holidays

Multicultural environment

Mentorship and career growth

Descripción de la vacante

BairesDev, a global technology delivery company, is seeking a Senior Data Reliability Engineer to join its remote team. You will build a new data quality layer, enforce freshness, volume, and schema checks across pipelines, and reconcile source feeds with Gold-layer tables to ensure reliability across a growing data platform.

You will also wire alerting into observability tooling and define recovery objectives for critical datasets, contributing to robust data governance and uptime.

Formación

• 5+ years of experience in data engineering or data reliability engineering.
• Experience with data quality frameworks.
• Experience with data observability tooling.
• Hands-on experience with Datadog.
• Strong SQL skills.
• Advanced proficiency in English.

Responsabilidades

• Implement data quality checks for freshness, volume, and schema across pipelines.
• Build reconciliation processes between source feeds and Gold-layer tables.
• Wire alerting into existing observability tooling to catch issues before they escalate.
• Define and support recovery objectives for prioritized, business-critical datasets.

Conocimientos

Data engineering

Data reliability

SQL

English

Herramientas

Datadog

Descripción del empleo

BairesDev, a global technology delivery company, is seeking a Senior Data Reliability Engineer to join its remote team. You will build a new data quality layer, enforce freshness, volume, and schema checks across pipelines, and reconcile source feeds with Gold-layer tables to ensure reliability across a growing data platform.

You will also wire alerting into observability tooling and define recovery objectives for critical datasets, contributing to robust data governance and uptime.