QA Automation Engineer - Core Specialty Insurance Services, Inc. - Cincinnati, OH
Core Specialty Insurance Services, Inc.
- Responsible for designing automation frameworks and implementing automated testing solutions using Playwright, Robot Framework, and Great Expectations (GX). Ideal candidate must be hands-on capable of defining standards, implementing automation at scale, and partnering across engineering, data, security, and business teams to ensure consistent quality, compliance, and release confidence. The selected candidate will be required to work a hybrid schedule (3 days in office/2 remote) out of our Dallas, TX, or Cincinnati, OH office. No relocation assistance is being offered with this role. Key Accountabilities/Deliverables: Automation Framework Design, implement, and maintain a scalable QA automation framework supporting UI, API, database, and data pipeline testing. ]Establish automation standards, best practices, naming conventions, tagging strategies, and execution patterns. Enable keyword-driven and low-code approaches to support broader adoption by QA and business users. Application Test Automation Develop automated tests using Playwright for modern web applications and API validations. Build end-to-end workflows using Robot Framework spanning UI, API, and database layers. Implement automated regression, smoke, and end-to-end test suites. Support cross-browser and cross-platform execution with parallel test runs. Data Quality & Observability Automation Implement Great Expectations (GX) as a data quality and observability framework within CI/CD pipelines. Develop assertion-based data validations, including: Schema and data contract enforcement Duplicate, orphan, and stale data detection Type-2 SCD validation Business rule and aggregation checks Cross-dataset and cross-system reconciliations Validate data across SQL Server, Synapse, Cosmos DB, Delta Lake, Spark, and data pipelines. Support DR/BCP and post-failover data validation CI/CD Integration & Reporting Integrate automation into GitHub Actions and Azure DevOps pipelines as quality gates. Ensure pipeline success