Data Quality Engineer: Remote & Flexible Hours

BairesDev; Mexico; On-site; PHP 5,474,000 - 7,908,000; Full time

Benefits offered by this job

100% remote work

USD or local currency pay

Hardware provided

Flexible hours

Paid parental leaves

National holidays

Mentorship and growth

Job summary

BairesDev is hiring a Data Quality Engineer to ensure the reliability and integrity of data across our pipelines. You will lead automated testing and validation frameworks to detect anomalies and maintain high data standards.

You will deploy tools like Great Expectations, Deequ, or Soda and collaborate with data engineers to define metrics and reporting across a global, 100% remote team.

Qualifications

• 4+ years of experience in Data Quality Engineering, Data Engineering, or Data Analytics.
• Proven expertise in building automated data quality checks and validation rules.
• Hands-on experience with data testing tools such as Great Expectations, Deequ, or Soda.

Responsibilities

• Design and implement automated data quality checks and validation rules across various data pipelines.
• Deploy and manage data quality tooling such as Great Expectations, Deequ, or Soda to monitor data health.
• Develop anomaly detection models to identify and mitigate data drift or integrity issues.
• Collaborate with data engineers and stakeholders to define data quality metrics and standards.
• Build reporting systems to provide visibility into data quality and reliability across the data ecosystem.

Skills

Data quality engineering

Data testing

Great Expectations

Deequ

Soda

Anomaly detection

English proficiency

Tools

Great Expectations

Deequ

Soda

Job description

BairesDev is hiring a Data Quality Engineer to ensure the reliability and integrity of data across our pipelines. You will lead automated testing and validation frameworks to detect anomalies and maintain high data standards.

You will deploy tools like Great Expectations, Deequ, or Soda and collaborate with data engineers to define metrics and reporting across a global, 100% remote team.