Data Engineer

Data Engineer 3

Location: Atlanta/ Hybrid
Client
- Southern Co Gas Corp

Contract- 1 Year

The 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.

• Develop and execute detailed test strategies, plans, and scripts based on requirements and design specifications

• Perform functional, regression, integration, and performance testing for data and application workflows

• Create and maintain testing artifacts including test cases, automation scripts, and test execution results

• Validate data pipelines, processing logic, ETL/ELT workflows, and data quality rules

• Collaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standards

• Identify, log, and track defects using Jira and Zephyr Scale, ensuring timely resolution

• Support continuous QA improvement, including automation expansion and CI/CD quality gates

• Participate in Agile ceremonies and contribute to overall delivery planning

• Advocate and implement data quality best practices and governance standards

• Support Data Bricks and Azure-based testing and quality monitoring workflows

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field

• Proven QA experience across integrated software and data platforms

• Experience validating front-end applications and user workflows

• Strong analytical and problem-solving skills

• Testing Tools & QA Frameworks: Tricentis Tosca (preferred), manual testing tools, automated testing frameworks

• Cloud Platform: Microsoft Azure (Data Engineering ecosystem)

• Data & Programming: Python, SQL

• Platform
  
  Experience:
  
  Azure Data Bricks

• Project Tools: Jira, Zephyr Scale

• Familiarity with Agile development and Scrum methodologies