Senior Software Development Test Engineer
Core
Ensuring quality, reliability, and correctness of data across an enterprise data platform, including validating AI-powered analytics agents.
Role type
Senior SDET for Data Engineering and Data Platform
Builds
Automated testing frameworks, reconciliation frameworks, and evaluation datasets for data pipelines and AI agents.
Domain
Automotive retail technology / Data Engineering / AI/ML
Deliverable
production ML models | dashboards & analysis
Required skills
Data modeling, automated testing frameworks, data validation, reconciliation, root cause analysis, AI evaluation, regression testing, quality engineering best practices
Preferred skills
None stated
Technologies
None explicitly named
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; Define and execute test strategies for AI-powered Analytics Agent capabilities including validating user intents and measuring response accuracy; Drive root cause analysis for production data quality issues; Design regression suites for large-scale data platform changes and migrations; Champion quality engineering best practices across the Data Platform organization
Seniority
Senior, hands-on IC