Senior Data Testing Engineer – Wealth Management PlatformsLocation: Hamilton, NJ - Need to work from office 3 Days a week and need to come to office for F2F Round of Interview Duration: 6 months + possible extension Rate Range: $52 - $56/hour on W2 (All inclusive) Note: Applicants must be willing to work on W2 only.Role: Senior Data Testing Engineer – Wealth Management Platforms Focus: Business Understanding, Financial Data Validation & Automated Data QualityKey ResponsibilitiesBusiness & Domain Driven Data TestingUnderstand business workflows and data flows end to end, such as:Trade capture ? booking ? settlement ?
accounting ? reportingClient onboarding ? account setup ?
funding ? transactionsMarket data ingestion ? pricing ?
valuationTranslate business rules and requirements into testable data validation scenariosData Testing & ReconciliationDesign and execute data validation and reconciliation tests for:Financial transactions and balancesPositions, holdings, and ledger dataClient, account, security master, and reference dataAutomation & Tooling (Python / PyTest Focus)Build and maintain automated data quality tests using:Python and PyTestSQL based assertions and reconciliation queriesPython based data quality or validation frameworksAutomate validation for:Databases and data storesAPIs and backend services (data centric validation)File based integrations (CSV, JSON, XML)Integrate automated data tests into CI/CD pipelines or scheduled runsCollaboration & Defect AnalysisPartner with business, product, and engineering teams to:Clarify requirements and expected data behaviorInvestigate data issues with a business first mindsetProvide clear explanations of data breaks and mismatchesDocument defects with business context, data evidence, and root cause insightsRequired Qualifications10+ years of experience in Data Testing or SDET roles with strong business and data focusStrong understanding of wealth management or financial services domainsHands on experience with:Python and PyTest for data testing automationAdvanced SQL for data validation and reconciliationExperience validating:Backend systems, APIs, and integrations from a data perspectiveBatch processing and data pipelinesAbility to understand business rules, calculations, and financial logic, not just schemasCompany Benefits & CultureInclusive and diverse work environment Opportunities for professional growth and development Comprehensive health and wellness benefits