Remote Senior Data Quality Engineer — Databricks Lakehouse

BairesDev; Chile; A distancia; CLP 111.317.000 - 148.423.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Excellent compensation in USD or local

Flexible hours

Parental leaves and holidays

Descripción de la vacante

BairesDev is seeking a Senior Data Quality Engineer to design and implement automated data quality validations within a Databricks lakehouse environment. You will build regression tests and guardrails to ensure data quality across pipelines and data products.

You’ll work with Great Expectations or Deequ, detect schema drift, and enforce completeness SLAs while collaborating with a global, remote-first team. This role offers flexible hours and international opportunities.

Formación

• 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.

Responsabilidades

• 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 frameworks such as Great Expectations or Deequ.

Conocimientos

Data quality engineering

Databricks

Regression testing

Great Expectations

Deequ

English proficiency

Herramientas

Databricks

Great Expectations

Deequ

Descripción del empleo

BairesDev is seeking a Senior Data Quality Engineer to design and implement automated data quality validations within a Databricks lakehouse environment. You will build regression tests and guardrails to ensure data quality across pipelines and data products.

You’ll work with Great Expectations or Deequ, detect schema drift, and enforce completeness SLAs while collaborating with a global, remote-first team. This role offers flexible hours and international opportunities.