Job Title: Data Warehouse Test Engineer 
Location: Dearborn, MI (Remote)

·        Test Engineering: 5+ years designing and executing functional, regression, integration, and negative test suites. Experience with AI/ML system testing, or conversational AI testing strongly preferred.

·        API Testing: REST API testing using tools such as Postman, pytest, or equivalent. Experience validating JSON schemas, HTTP error codes, and streaming responses (SSE).

·        SQL / Big Query: Advanced SQL authoring in Big Query Standard SQL; window functions, CTEs, date arithmetic, SAFE functions, STRUCT/ARRAY handling. Must be able to independently write complex validation queries against a multi-table star schema.

·        Defect Documentation: Ability to write precise, reproducible defect reports that include expected SQL, actual SQL, expected result set, and actual result set.

·        Bank Domain Knowledge: Understanding of retail/commercial bank operations: deposits, accounts, transactions, AML, KYC, fraud, compliance. Ability to interpret bank KPIs and business rules without extensive handholding.

·        Critical Thinking & Business Analysis: Ability to read a business question, understand the intended meaning, independently determine the correct SQL answer, and validate whether an AI system answered correctly, not just syntactically but semantically.

 
Preferred Skills:

·        Experience testing LLM-based or NL-to-SQL systems (Cortex, Looker, ThoughtSpot, or similar)

·        Familiarity with GCP services: BigQuery, Cloud Run, Firestore, Dataplex, IAP

·        Python scripting for test automation (pytest, SQLAlchemy, google-cloud-bigquery SDK)

·        SCD2 / data warehousing concepts (bitemporal tables, slowly changing dimensions)

·        Regulatory knowledge: GLBA, FCRA, BSA/AML, BCBS 239, SOX data quality

·        Experience with data quality testing and data reconciliation

·        Knowledge Graph or ontology concepts

Automotive finance domain knowledge