Job Description
The Software Quality Engineer IV - Backend Data & Automation will focus on ensuring data accuracy, integrity, and consistency for large-scale applications, while also driving automation strategies to increase efficiency and reliability across our QA processes. Essential Job Responsibilities Include: Backend Data Validation & Analysis Design and execute comprehensive test strategies for backend services, large datasets, APIs, and ETL processes. Perform in-depth data analysis, reconciliation, and comparison across multiple databases and source systems using complex SQL queries. Validate data transformations, aggregations, and business rules across environments. Automation Development Develop scalable automation frameworks or enhance existing ones for data validation, API testing, and backend workflows using Cypress. Build automated data comparison utilities to validate large datasets efficiently. Integrate automation into CI/CD pipelines to ensure continuous quality coverage. Quality Strategy & Collaboration Partner closely with Data Engineering and Product teams to understand system architecture and data flows. Author and execute thorough and detailed test cases and test plans. Identify gaps in test coverage and lead initiatives to enhance validation processes. Mentor junior QA engineers on data testing, SQL, automation practices, and best-in-class quality strategies. Works independently with minimal supervision, requiring guidance only for highly complex issues. Defect Investigation & Troubleshooting Investigate data discrepancies by analyzing logs, SQL queries, API payloads, and backend services.</