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Quality Engineer - Data Level 2
Quality Engineer - Data Level 2Jobs via Dice • Cincinnati, OH, US
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Quality Engineer - Data Level 2

Quality Engineer - Data Level 2

Jobs via Dice • Cincinnati, OH, US
4 days ago
Job type
  • Full-time
Job description

Join to apply for the Quality Engineer - Data Level 2 role at Jobs via Dice

Overview

Location : Cincinnati, OH

Salary : $60.00 USD Hourly - $65.00 USD Hourly

Description : We're looking for a seasoned Quality Engineer with a passion for excellence and innovation. You'll bring strong analytical skills, a collaborative mindset, and a drive to continuously improve QA processes.

Minimum Qualifications

  • 5+ years of experience in Quality Assurance
  • Hands-on experience with CI tools (e.g., Jenkins, TeamCity, GitLab)
  • Strong understanding of QA processes in Agile / Scrum environments
  • Proficient in defect tracking and root cause analysis (Jira, Rally)
  • Familiarity with automation and performance testing concepts
  • Experience working with distributed or remote teams
  • Knowledge of risk-based testing methodologies
  • Experience in test environment and test data management

Preferred Qualifications

  • Solid understanding of relational and non-relational databases
  • 2+ years of advanced SQL experience
  • Familiarity with data frameworks, strategies, and best practices

    • Responsibilities

  • Collaborate in Agile teams to deliver high-quality software
  • Design, develop, and maintain functional automation test scripts
  • Execute test cases and validate application functionality
  • Perform backend validation using SQL
  • Conduct various testing types : smoke, white box, black box, integration, regression, system
  • Participate in requirement and design reviews
  • Manage test coverage based on risk analysis
  • Document and prioritize defects
  • Coordinate test script reviews with stakeholders
  • Ensure timely delivery of QA artifacts within scope and quality standards
  • Contribute to Root Cause Analysis and continuous improvement initiatives
  • Maintain strong working relationships across project teams
  • Proactively identify and resolve blockers
  • Help evolve QA processes and best practices

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    Data Quality Engineer • Cincinnati, OH, US