Senior Data Quality Engineer — Remote & Flexible Hours

BairesDev; Sucre; Remote; COP 292,047,000 - 454,295,000; Full time

Benefits offered by this job

100% remote

Competitive USD compensation

Hardware and software setup for home

Flexible hours

Parental leaves & holidays

Multinational team

Job summary

BairesDev is seeking a Senior Data Quality Engineer to own the automation of data quality frameworks within a lakehouse environment, ensuring trust and precision across enterprise data assets. You will design automated quality validation, implement schema drift detection, and enforce completeness SLAs while collaborating with engineering teams to locate and fix data defects.

This is 100% remote with flexible hours and collaboration with a global Top 1% data talent.

Qualifications

• 5+ years in Data Engineering or related role.
• Experience with data quality automation in lakehouse environments.
• Experience with DQ validation, regression testing and completeness SLAs.
• Schema drift detection knowledge and Great Expectations or Deequ.

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

Databricks Lakehouse

Great Expectations

English Proficiency

Job description

BairesDev is seeking a Senior Data Quality Engineer to own the automation of data quality frameworks within a lakehouse environment, ensuring trust and precision across enterprise data assets. You will design automated quality validation, implement schema drift detection, and enforce completeness SLAs while collaborating with engineering teams to locate and fix data defects.

This is 100% remote with flexible hours and collaboration with a global Top 1% data talent.