[Hiring] Data Warehouse Test Engineer @ZENITH INFOTEK LLC

Role Description

We are seeking a Data Warehouse Test Engineer to join our team. This is a remote position based in Dearborn, MI.

• 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.

Qualifications

• 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

Company Description