Remote Senior Data Quality Engineer — Databricks Lakehouse

BairesDev; Antioquia; Remote; COP 286,670,000 - 477,783,000; Full time

Benefits offered by this job

Remote work

USD pay option

Home setup provided

Flexible hours

Parental leave

Mentorship & growth

Diverse, multicultural team

Job summary

BairesDev is seeking a Senior Data Quality Engineer to build automated data quality validation for pipelines and data products in a Databricks lakehouse environment.

You will ensure data quality issues are caught early through regression testing and modern validation frameworks, applying rigorous engineering discipline to keep a trustworthy data platform.

This fully remote role offers international opportunities and a culture of mentorship and growth.

Qualifications

• 5+ years of experience in data quality engineering.
• Strong experience with data quality automation in a Databricks lakehouse environment.
• Proven experience building automated DQ validation for pipelines and data products.
• Experience with schema drift detection.
• Background implementing completeness SLAs.
• Experience with regression testing using Great Expectations or Deequ-style frameworks.
• Advanced proficiency in English.

Responsibilities

• Build automated data quality validation for pipelines and data products in Databricks.
• Detect schema drift across evolving data pipelines.
• Enforce completeness SLAs across critical data products.
• Implement regression testing using Great Expectations or Deequ.

Skills

5+ years experience

Databricks lakehouse

data quality automation

schema drift detection

completeness SLAs

regression testing

Great Expectations

Deequ

English proficiency

Tools

Databricks

Great Expectations

Deequ

Job description

BairesDev is seeking a Senior Data Quality Engineer to build automated data quality validation for pipelines and data products in a Databricks lakehouse environment.

You will ensure data quality issues are caught early through regression testing and modern validation frameworks, applying rigorous engineering discipline to keep a trustworthy data platform.

This fully remote role offers international opportunities and a culture of mentorship and growth.