Data Engineer 3Location: Atlanta/ Hybrid Client- Southern Co Gas CorpContract- 1 YearPosition OverviewThe Quality Assurance Data Engineer plays a critical role in validating the integrity, reliability, and performance of our enterprise decision-making data platform. This position ensures high-quality data analytics delivery by enforcing standards, executing thorough testing, identifying data-related issues, and supporting continuous improvement throughout the software development lifecycle.The ideal candidate brings strong analytical skills, exceptional attention to detail, technical proficiency in data testing, and the ability to collaborate effectively across cross-functional Agile teams. This role will require both manual and automated testing across cloud environments, data pipelines, and front-end applications.Key ResponsibilitiesDevelop and execute detailed test strategies, plans, and scripts based on requirements and design specificationsPerform functional, regression, integration, and performance testing for data and application workflowsCreate and maintain testing artifacts including test cases, automation scripts, and test execution resultsValidate data pipelines, processing logic, ETL/ELT workflows, and data quality rulesCollaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standardsIdentify, log, and track defects using Jira and Zephyr Scale, ensuring timely resolutionSupport continuous QA improvement, including automation expansion and CI/CD quality gatesParticipate in Agile ceremonies and contribute to overall delivery planningAdvocate and implement data quality best practices and governance standardsSupport DataBricks and Azure-based testing and quality monitoring workflowsRequired QualificationsBachelor's degree in Computer Science, Information Technology, Data Engineering or related fieldProven QA experience across integrated software and data platformsExperience validating front-end applications and user workflowsStrong analytical and problem-solving skillsTechnical SkillsTesting Tools & QA Frameworks: Tricentis Tosca (preferred), manual testing tools, automated testing frameworksCloud Platform: Microsoft Azure (Data Engineering ecosystem)Data & Programming: Python, SQLPlatform Experience: Azure DataBricksProject Tools: Jira, Zephyr ScaleFamiliarity with Agile development and Scrum methodologies