Remote Senior Data Quality Engineer - Lakehouse

BairesDev; Sucre; Remote; COP 291,309,000 - 485,515,000; Full time

Benefits offered by this job

100% remote work

Excellent USD compensation

Hardware and software setup for home

Flexible hours

Parental leaves and holidays

Multicultural global team

Mentorship and growth opportunities

Job summary

BairesDev is hiring a Senior Data Quality Engineer to own automation of data quality frameworks within a lakehouse environment, ensuring completeness SLAs and resilience against schema anomalies. You will collaborate with engineering teams to fix structural data defects and uphold data reliability across enterprise assets.

The role emphasizes automated validation, regression testing, and strong English communication in a 100% remote setup with competitive USD compensation and flexible hours.

Qualifications

• 5+ years of experience in Data Engineering or Data Quality.
• Proven expertise in data quality automation within Databricks lakehouse environments.
• Hands-on experience implementing automated DQ validation, regression testing, and completeness SLAs.
• Strong knowledge of schema drift detection and Great Expectations or Deequ-style frameworks.

Responsibilities

• Design and implement automated data quality validation frameworks across pipelines and data products.
• Develop robust mechanisms for schema drift detection to capture format variations dynamically.
• Establish and enforce data completeness SLAs to guarantee high-integrity data availability.
• Build automated regression testing suites tailored to lakehouse architectures.
• Partner with engineering teams to identify, isolate, and resolve structural data defects.

Skills

Data Engineering

Data Quality

Lakehouse

Great Expectations

Deequ

English proficiency

Tools

Databricks

Job description

BairesDev is hiring a Senior Data Quality Engineer to own automation of data quality frameworks within a lakehouse environment, ensuring completeness SLAs and resilience against schema anomalies. You will collaborate with engineering teams to fix structural data defects and uphold data reliability across enterprise assets.

The role emphasizes automated validation, regression testing, and strong English communication in a 100% remote setup with competitive USD compensation and flexible hours.