Data Warehouse Test Engineer
ZENITH INFOTEK LLC · United States · $83K–$104K/yr
IT Services and IT Consulting · 51-200 employees
About the role
The Data Warehouse Test Engineer will design and execute complex functional, regression, and integration test suites for AI/ML and data systems. They are responsible for validating AI-generated SQL queries against multi-table star schemas and documenting precise defect reports.
What they look for
Requirements
Candidates must have 5+ years of experience in test engineering with advanced SQL proficiency in BigQuery and REST API testing. Strong domain knowledge in retail or commercial banking and the ability to perform semantic validation of AI system outputs are required.
Full description
Job Title: Data Warehouse Test Engineer Location: Dearborn, MI (Remote)
Required Skills:
· 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
This is a remote position.
