Senior Data Platform SDET - QA for ML & Data Pipelines

Quanata, LLC; Northern (KY); Hybrid; USD 198,000 - 281,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

Headspace app subscription

Monthly wellness allowance

401(k) with company match

One-time $2K home office equipment

MacBook Pro provided

Job summary

Quanata, LLC is seeking a hands-on Data Platform QA Engineer to ensure quality, reliability, and performance of complex data platforms and ML workflows. You will design scalable automated testing approaches and collaborate with Data Engineers, ML Engineers, Data Scientists, and DevOps to identify risks early and strengthen quality throughout the lifecycle.

You will mentor other quality engineers while remaining actively involved in hands-on engineering, shaping testing practices across teams and

Qualifications

• Bachelor's or Master's in CS/Engineering or equivalent experience.
• 6-8 years in software testing, with at least 3 years on data platforms or ML testing.
• Strong programming skills and experience building automated testing frameworks.
• Hands-on testing of complex data platforms, pipelines, and distributed systems.
• Knowledge of data validation, schema validation, and data quality.
• Understanding of ML concepts, workflows, and model evaluation.
• Experience with CI/CD and infrastructure automation.
• Ability to troubleshoot data/model failures and perform root-cause analysis.
• Able to collaborate across engineering, data science, and operations.
• Ability to mentor quality engineers and contribute to standards.

Responsibilities

• Design scalable automated testing frameworks for data pipelines and ML models.
• Develop testing strategies addressing data quality, schema integrity, drift, bias, and regression.
• Validate large-scale distributed data systems for accuracy, reliability, performance.
• Partner across engineering, data science, and operations teams to embed quality throughout the software development and delivery lifecycle.
• Conduct exploratory testing to identify edge cases and risks in new features, data outputs, and machine learning workflows.
• Build continuous validation into automated development and deployment processes.
• Investigate production data and model failures, identify root causes, and help drive effective resolutions.
• Mentor junior SDETs and contribute to broader testing strategies, standards, and quality engineering best practices.

Skills

Automated testing

Data platforms

Machine learning testing

Programming

CI/CD

Data validation

Troubleshooting

Mentoring

Education

BS or MS in CS/Engineering

Tools

CI/CD tools

Job description

Quanata, LLC is seeking a hands-on Data Platform QA Engineer to ensure quality, reliability, and performance of complex data platforms and ML workflows. You will design scalable automated testing approaches and collaborate with Data Engineers, ML Engineers, Data Scientists, and DevOps to identify risks early and strengthen quality throughout the lifecycle.

You will mentor other quality engineers while remaining actively involved in hands-on engineering, shaping testing practices across teams and