Senior Data Quality Engineer — Remote Data Integrity Leader

BairesDev; Sucre; Presencial; COP 378.561.000 - 504.748.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work (100% )

Competitive USD/Local pay

Home office setup

Flexible hours

Parental leave & vacations

Descripción de la vacante

BairesDev is seeking a Senior Data Quality Engineer to own the automation of data quality frameworks within the lakehouse environment, ensuring trust and precision across enterprise data assets. You will serve as a key custodian of reliability, guaranteeing completeness SLAs and resilience against schema anomalies.

Join a remote-first, globally distributed team that values mentorship and continuous learning while you design, implement, and scale data quality pipelines across multiple data

Formación

• 5+ years of experience in Data Engineering or Data Quality.
• Experience with data quality automation in Databricks lakehouse.
• Experience implementing automated DQ validation and completeness SLAs.
• Knowledge of schema drift detection and Great Expectations or Deequ.
• Advanced English proficiency.

Responsabilidades

• Design and implement automated data quality validation frameworks across pipelines and data products.
• Develop schema drift detection mechanisms to capture format variations.
• Establish data completeness SLAs to ensure high-integrity data availability.
• Build automated regression testing suites for lakehouse architectures.
• Collaborate with engineering teams to identify and resolve data defects.

Conocimientos

Data Engineering

Data Quality

Databricks Lakehouse

DQ Validation

Schema Drift Detection

Great Expectations

Deequ

English Proficiency

Herramientas

Databricks

Great Expectations

Deequ

Descripción del empleo

BairesDev is seeking a Senior Data Quality Engineer to own the automation of data quality frameworks within the lakehouse environment, ensuring trust and precision across enterprise data assets. You will serve as a key custodian of reliability, guaranteeing completeness SLAs and resilience against schema anomalies.

Join a remote-first, globally distributed team that values mentorship and continuous learning while you design, implement, and scale data quality pipelines across multiple data