Data QE Manager: ML Validation & Platform Reliability

KinderCare Learning Companies; Beaverton (OR); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Discounted child care benefits

Medical, dental, and vision benefits

Employee assistance programs

Health and wellness programs

Paid time off

Job summary

A leading educational organization seeks an IT Data QE Engineering Manager to drive delivery excellence and embed quality engineering practices across the software development lifecycle. The ideal candidate will lead validation for machine learning systems and ensure the reliability of data pipelines. With over 7 years of experience and a strong background in data quality and engineering, you will build and mentor high-performing teams while implementing automated data validation frameworks.

Qualifications

• 7+ years of experience in Data Engineering or Data Quality roles.
• 3+ years leading data or quality engineering teams.
• Experience validating ML pipelines and understanding software development lifecycle.

Responsibilities

• Define and execute data quality strategy for Databricks.
• Lead quality validation strategy for machine learning pipelines.
• Establish data quality KPIs aligned with enterprise standards.
• Build and mentor high-performing Data QE teams.

Skills

Data Quality Engineering

Machine Learning Validation

Databricks

SQL

Agile/Scrum

Education

Bachelor's degree in computer science or related discipline

Tools

Databricks

Spark

Jira

Confluence

Job description

A leading educational organization seeks an IT Data QE Engineering Manager to drive delivery excellence and embed quality engineering practices across the software development lifecycle. The ideal candidate will lead validation for machine learning systems and ensure the reliability of data pipelines. With over 7 years of experience and a strong background in data quality and engineering, you will build and mentor high-performing teams while implementing automated data validation frameworks.