Backend Tester

Role Summary The Backend Data Validation and Performance Test Engineer is an experienced professional responsible for ensuring the accuracy, integrity, reliability, and high performance of large-scale backend data systems within enterprise applications. This role involves assessing data processes, conducting performance benchmarking, and validating data across diverse ecosystems. The engineer will collaborate closely with cross-functional teams to maintain compliance with program, architectural, and regulatory standards, primarily supporting CMS-related projects. Responsibilities Validate and assess backend data systems to ensure data accuracy, consistency, and system integrity. Conduct performance testing, including workload analysis, query tuning, and data pipeline benchmarking to optimize backend system performance. Perform data validation in big data environments such as Databricks and Snowflake, ensuring data integrity and process reliability. Develop and execute comprehensive backend testing plans and detailed test cases based on user stories and functional requirements. Create and manage defect tickets, acceptance criteria, and test documentation in collaboration tools like Jira, Confluence, and TestRail. Partner with Data Coaches, Data Analysts, Database Administrators (DBAs), and development teams to ensure backend processes adhere to standards and best practices. Translate complex user requirements into actionable testing strategies and procedures. Assist in the implementation of best practices for data quality, security, and compliance standards within backend systems. Support system performance monitoring using visualization tools such as Tableau or Grafana. Contribute to agile delivery methods, providing input to planning sessions and retrospectives to improve testing workflows. Qualifications Minimum 5 years of hands-on experience in backend data testing or data QA roles. Strong proficiency in backend database validation using PostgreSQL, Snowflake, and advanced SQL. Demonstrated experience validating data in big data ecosystems like Databricks and Snowflake. Proven experience with backend performance testing, workload analysis, query tuning, and data pipeline benchmarking. Familiarity with collaboration tools including Jira, Confluence, Slack, and TestRail. Experience working in Agile or SAFe environments, capable of translating user stories into testing plans. Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Ability to work independently, demonstrate initiative, and deliver high-quality results with minimal supervision. This position requires eligibility for a U.S. Government security clearance. In accordance with federal law, U.S. citizenship is required. Availability to support remote work environment. Publishing Pay Range: $40.00 – $43.00 USD Hourly This is a fully remote role and can be performed from an approved location.