Senior SDET – Data [Remote-US]
Core
Design scalable automated testing frameworks and strategies for complex data pipelines, distributed processing systems, and machine learning workflows to ensure data quality, model accuracy, and system reliability.
Role type
Senior individual contributor SDET (Data & ML)
Builds
Automated testing frameworks, validation pipelines, and quality assurance processes for data and ML systems
Domain
Insurance technology, data engineering, machine learning
Deliverable
production ML models | product features
Required skills
Automated testing framework design, distributed data system testing, data validation (quality/integrity/schema), machine learning workflow understanding, CI/CD and infrastructure automation, root cause analysis, technical mentorship
Preferred skills
ML model evaluation (interpretability/fairness/bias), MLOps practices, production pipeline monitoring, data governance
Technologies
Automated testing frameworks, distributed data processing systems, CI/CD tools
Responsibilities
Design and implement scalable automated testing frameworks for data pipelines and ML models; Develop testing strategies addressing data quality, schema integrity, and model accuracy; Validate large-scale distributed data systems for accuracy and resilience; Partner with engineering and data science teams to embed quality in the SDLC; Conduct exploratory testing to identify edge cases in ML workflows; Investigate production failures and drive resolutions; Mentor junior SDETs and contribute to testing standards
Seniority
Senior, hands-on IC
