Senior Software Development Test Engineer
Core
Building confidence in the quality, reliability, and correctness of data across the Enterprise Data Platform, including validating AI-powered Analytics Agent capabilities.
Role type
Senior SDET for Data Engineering and Data Platform
Builds
Automated testing frameworks, reconciliation frameworks, evaluation datasets, and monitoring for data pipelines, transformations, APIs, and AI agents.
Domain
Automotive retail technology, data engineering, AI/ML
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SDET for Data engineering, data model understanding, automated testing framework design, data validation (correctness, completeness, consistency, freshness, lineage), scalable reconciliation, root cause analysis, AI evaluation (user intents, hallucinations, edge cases), regression suite design, quality engineering best practices
Responsibilities
Design and implement automated testing frameworks for data pipelines, transformations, APIs, and platform capabilities; Validate data correctness, completeness, consistency, freshness, and lineage; Build scalable reconciliation frameworks to compare Data Lake outputs against source systems; Define data quality metrics, validation rules, and automated monitoring; Partner with engineering teams to validate new platform capabilities; Design regression suites for large-scale data platform changes; Drive root cause analysis for production data quality issues; Define and execute test strategies for AI-powered Analytics Agent capabilities; Champion quality engineering best practices
Seniority
Senior, hands-on IC
