Data QA Analyst

Blend360

Data QA Analyst validating data accuracy and preparing datasets for production in AI services. Collaborating with engineering teams across multiple data domains to ensure quality standards are met.

Posted 5/19/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains.
Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps.
Execute structured acceptance testing for each pipeline prior to promotion to production environments.
Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives.
Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance.
Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve.

Requirements

What you’ll need

Expert-level SQL skills, with demonstrated ability to write complex queries for data validation, profiling, and reconciliation at scale.
Experience with data quality frameworks, with preference given to candidates with hands-on Great Expectations expertise.
Proficiency in Python for scripting automated tests, data profiling tasks, and quality checks.
Strong background in data profiling techniques, including distribution analysis, completeness checks, and anomaly detection.
Experience designing and executing test automation strategies in data or analytics engineering contexts.
Ability to clearly document findings and communicate data quality issues to both technical and non-technical stakeholders.
3+ years of experience in Data Quality, QA, or Data Analysis roles, with proven ability to build reconciliation frameworks and execute end-to-end acceptance testing across complex data pipelines.
English: Advanced (required for effective communication with global teams).

Benefits

Comp & perks

🏥 Health and Well-being: At-home medical assistance via EMI (or similar provider) through Asobursatil, available for all employees from AllStar to Analyst level.
Private healthcare plans for Lead-level roles and above.
🎉 Celebrations and Recognitions: Christmas kit delivered to all employees.
1 day off for academic graduation.
Family Day: 1 day off every semester (must be taken within the same semester).
💰 Financial Health and Savings (Work Together, Get Together Program): Savings incentive program via Asobursatil: Year 1: Blend contributes 50% of your monthly savings. Year 2: Blend contributes 100% of your monthly savings. Year 3+: Blend contributes 150% of your monthly savings. Savings can be withdrawn in July and December.
📚 Educational Loans and Subsidies: Forgivable education loans subject to committee approval and budget availability.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythondata quality frameworksGreat Expectationsdata profiling techniquestest automation strategiesreconciliation frameworksacceptance testingdata validationdata analysis

Soft Skills

communicationdocumentationcollaborationanalytical thinkingproblem-solving