Senior Data Quality Engineering Analyst

Yum! Center for Global Franchise Excellence

Senior Data Quality Engineering Analyst responsible for validating critical business applications at Taco Bell. Collaborating with technology teams to enhance the quality of data systems.

Posted 7/16/2026full-timeIrvine • California • 🇺🇸 United StatesSenior💰 $120,200 - $141,540 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Quality Assurance processes, including the development of automated testing frameworks and data quality validation across various domains. Proficient in collaborating with cross-functional teams to ensure data integrity and quality throughout the data lifecycle.

Highest-signal resume keywords

Quality Assurance ProcessAutomated Testing FrameworksData Quality ValidationAWS ServicesTest Script Development

ATS Keywords

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Hard Skills

Test Plan CreationTest Scenario DevelopmentTest Case DesignData Quality Framework ImplementationAutomated ValidationSchema ValidationData Drift DetectionAnomaly DetectionKPI TrackingSLA Monitoring

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingRisk Identification

Tools & Technologies

AWSSnowflakeDbtGreat ExpectationsCI/CD Processes

Certifications & Qualifications

Bachelor of Science in Information Technology

Industry Keywords

Data QualityBatch ProcessingStreaming WorkloadsRestaurant Front of HouseRestaurant Back of House

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Able to understand complex business process, technology landscape, related requirements and attend daily stand-up meetings to focus on key focus areas of validation
Able to independently drive validation needs by creating comprehensive and well-structured test plan, test scenario, test case, setting up test environment, working with business analyst and developer to understand requirements and architecture and be able to review test results of junior team members and be able to guide them with validation approach
Able to coordinate with key onsite and offshore counterparts to complete validation and certification activities within agreed upon project timeline
Able to identify, callout out and socialize project risks so that applicable stakeholders can take informed decision
Designing and implementing a comprehensive data quality framework involving building of automated validation framework across both batch and real-time pipelines, enforcing core quality dimensions — completeness, accuracy, consistency, and timeliness — through checks like schema validation, data drift and anomaly detection, and referential integrity and business rule enforcement, while also defining and tracking KPIs and SLAs to continuously monitor and uphold data health across the organization.
Embedding data quality controls within the pipelines involves integrating validation across the full data lifecycle, from ingestion through transformation to consumption, supporting both batch and streaming workloads.
Able to bring in hands on development experience in test scripts to automate test process. Should be able to deliver applicable automated test solution to provide appropriate solution within a stipulated timeframe
Track quality assurance metrics, like defect leakage, defect densities and open defect counts

Requirements

What you’ll need

Have a Bachelor of Science in Information technology degree
Have at least 7 years’ thorough hands-on experience in Quality Assurance Process
Have at least 5 years of experience in different AWS services JSON and XML files, Snowflake database etc.
Have at least 3 years of test script development experience for automated validation of application under test.
Highly preferred experience to validate data quality within Key domains like Restaurant Front of House, Back of House, Customer etc.
Maintains strong Partnership with data engineers to embed quality checks directly into pipelines
Knowledge on developing and maintain automated testing frameworks for data pipelines and integrate with CI/CD processes for continuous validation
Knowledge on enabling reusable validation patterns using tools like dbt, Great Expectations, or custom frameworks
Passion to train and groom junior resources in the team and expand technical knowledge through the organization
Passion to learn new technology and processes curiosity to collaborate with subject matter experts

Benefits

Comp & perks

Hybrid work schedule and year-round flex day Friday
Onsite childcare through Bright Horizons
Onsite dining center and game room (yes, there is a Taco Bell inside the building)
Onsite dry cleaning, laundry services, carwash
Onsite gym with fitness classes and personal trainer sessions
Up to 4 weeks of vacation per year plus holidays and time off for volunteering
Tuition reimbursement and education benefits
Generous parental leave for all new parents and adoption assistance program
401(k) with a 6% matching contribution from Yum! Brands with immediate vesting
Comprehensive medical & dental including prescription drug benefits and 100% preventive care
Discounts, free food, swag and… honestly, too many good benefits to name