Data-Driven QA & Automation Engineer

SimonsChustr; New York; Híbrido; USD 120 000 - 170 000; Tempo integral

Resumo da oferta

Simon & Schuster, a world-leading publisher, is modernizing core systems for order management, fulfillment, partner integration, and financial transactions using .NET and SQL solutions with an AI-assisted approach to accelerate modernization while preserving data integrity across the platform.

The QA / Test Automation Engineer is the evidence engine of the program: building automated regression and data-reconciliation checks, running first-pass comparisons on parallel runs, and assembling the

Qualificações

• 5+ years of QA experience with a strong test-automation focus.
• Strong SQL skills with substantial data validation and reconciliation.
• Automated testing experience and integrating tests into pipelines.
• Data-centric testing across ETL/data pipelines or migrations.
• Experience using AI tools in testing or analysis.
• Root-cause discipline with clear communication of findings.
• Clear written communication for validation reports.

Responsabilidades

• Own first-pass reconciliation: run parallel validation and classify discrepancies.
• Build automated regression and parity tests to preserve business behavior.
• Test integrations and performance with warehouse, EDI, and financial systems.
• Gate production cutovers with evidence and an auditable package.
• Coordinate UAT with business stakeholders and translate validation results.
• Harden the validation framework and data management for future replacements.
• Apply AI-assisted testing judiciously with rigorous validation.

Conhecimentos

Test strategy

SQL proficiency

Automated testing

Data-centric testing

AI tooling in testing

Root-cause analysis

Technical writing

Ferramentas

NUnit/xUnit

pytest

AutoSys

Descrição da oferta de emprego

Simon & Schuster, a world-leading publisher, is modernizing core systems for order management, fulfillment, partner integration, and financial transactions using .NET and SQL solutions with an AI-assisted approach to accelerate modernization while preserving data integrity across the platform.

The QA / Test Automation Engineer is the evidence engine of the program: building automated regression and data-reconciliation checks, running first-pass comparisons on parallel runs, and assembling the