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Mid-tier employer, mid-level SDET title with some niche data-platform requirements creates moderate competition.
Data-platform and AI evaluation focus creates strong domain bias, reducing easy industry transferability.
Mandatory 5+ years SDET data-platform experience and specialized testing skills create strict filters.
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Own end-to-end quality assurance for enterprise data products on Tekion's data platform, ensuring data correctness, completeness, consistency, and freshness.
Design and implement automated testing and reconciliation frameworks for data pipelines, transformations, APIs, and platform features across multiple data sources (databases, UIs, services, reports).
Define and execute test strategies for AI-powered Analytics Agent, including validating user intents, evaluation dataset creation, accuracy measurement, and anomaly detection.
5+ years experience as Software Development Engineer in Test (SDET) specializing in Data Engineering and Data Platform environments.
Proven experience with automated testing frameworks for data pipelines, transformations, and large-scale data platform validation.
Demonstrated ability to develop data quality metrics, validation rules, and anomaly detection systems.
Work Experience Required: 5+ years in relevant SDET roles dealing with enterprise data platforms and AI analytics validation.
Has strong expertise in data quality engineering specifically within large-scale enterprise data platforms and data lakes.
Experienced in collaborating with cross-functional teams including data engineering, product management, analytics, and AI to deliver robust validation strategies.
Able to strategically design scalable test automation and reconciliation systems to support complex data pipeline integrity and AI-powered analytics validation.