Staff Software Development Test Engineer
Core
Build confidence in the quality, reliability, and correctness of data across the Enterprise Data Platform, including validating AI-powered Analytics Agent capabilities.
Role type
Staff Software Development Test Engineer (Data Platform)
Builds
Automated testing frameworks, reconciliation frameworks, evaluation datasets, and monitoring systems 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, automated testing frameworks, data quality metrics, root cause analysis, regression suite design, AI evaluation frameworks, data lineage validation, stakeholder collaboration
Preferred skills
Experience with data lake architectures, AI hallucination detection, large-scale data migrations
Technologies
Data Lake, Operational databases, Product UIs, Upstream services, Business reports
Responsibilities
Design and implement automated testing frameworks for data pipelines and APIs; Validate data correctness, completeness, consistency, freshness, and lineage; Build scalable reconciliation frameworks to compare Data Lake outputs against source systems; Define data quality metrics 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 including validating user intents and measuring response accuracy; Champion quality engineering best practices across the Data Platform organization
Seniority
Staff, hands-on IC with strategic influence