Data Quality Engineer

Blend360

Data Quality Engineer focusing on data quality across data platforms at AI services provider Blend. Validating pipelines and implementing automated quality checks with strong collaboration across teams.

Posted 5/1/2026full-timeRemote • 🇺🇾 UruguayMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureETLSQL

About the role

Key responsibilities & impact

Validate data pipelines and ensure data quality, reliability, and consistency across modern data platforms.
Implement automated quality checks within Databricks pipelines.
Own reconciliation between source systems and Databricks layers.
Validate identity resolution outputs and investigate false positives/negatives.
Perform end-to-end pipeline testing and document QA processes.

Requirements

What you’ll need

Experience working with Azure-based data platforms, including Databricks.
Strong understanding of data quality frameworks and testing methodologies for data pipelines.
Experience validating ETL/ELT processes and working with layered architectures (Bronze, Silver, Gold).
Strong SQL skills and experience analyzing large datasets.
Experience implementing automated data validation and reconciliation processes.
Familiarity with data pipeline monitoring, alerting, and troubleshooting.
Ability to collaborate with Data Engineers and business stakeholders.
Strong analytical thinking and attention to detail.
Experience documenting QA processes and results in a structured manner.
English: Advanced (required for effective communication with global teams).

Benefits

Comp & perks

Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Travel opportunities to attend industry conferences and meet clients.
Mentoring and Development: Career development plans and mentorship programs to help shape your path.
Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data validationdata qualityautomated quality checksETLELTSQLdata analysisdata reconciliationpipeline testingdata monitoring

Soft Skills

analytical thinkingattention to detailcollaborationcommunication