Job Summary
As a Senior Data QA Engineer, you will play a key role in ensuring the accuracy, integrity, and reliability of enterprise data solutions. Working closely with Data Engineering, Analytics, and business stakeholders, you will validate complex data workflows, drive data quality best practices, and help deliver trusted data that powers critical business decisions. You will also leverage modern AI-powered tools to enhance testing efficiency, analysis, and overall quality outcomes.
Key Responsibilities
- Review and analyze business, functional, technical, and data requirements.
- Design, develop, and execute test plans, test cases, and test scripts.
- Validate ETL/ELT pipelines, data transformations, and data warehouse solutions.
- Perform manual and automated testing across data platforms and reporting environments.
- Conduct SQL-based data validation, reconciliation, and root cause analysis.
- Identify, document, track, and verify defects through resolution.
- Collaborate with Data Engineers, Developers, Product Managers, and business stakeholders to ensure high-quality releases.
- Create and maintain QA documentation, test evidence, and status reports.
- Mentor and support junior QA team members while promoting quality best practices.
- Leverage AI-powered tools to improve testing productivity and quality.
- Contribute to test automation and continuous improvement initiatives.
- Perform other duties as assigned.
Qualifications
- Bachelor's degree in computer science, Computer Engineering, Information Systems, or a related field.
- 4+ years of experience in Data Quality Assurance, Data Testing, or Quality Engineering.
- Strong hands-on experience with SQL and databases such as Snowflake, Redshift, SQL Server, MySQL, or PostgreSQL.
- Experience testing data warehouses, ETL/ELT pipelines, and large-scale data platforms.
- Familiarity with cloud environments such as AWS, Azure, or GCP.
- Experience with defect tracking and test management tools such as Jira or Azure DevOps.
- Exposure to AI-powered tools and technologies, including the effective use of AI assistants and prompt engineering to enhance testing, analysis, and productivity.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Preferred Qualifications
- Experience with data testing automation frameworks and data quality tools.
- Exposure to BI and reporting platforms such as Power BI or Tableau.
- Experience supporting both on-premises and cloud-native data platforms.
- Knowledge of Agile/Scrum methodologies and software development lifecycle best practices.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
Skills Required
- Bachelor's degree in computer science, computer engineering, information systems, or a related field
- 4+ years of experience in data quality assurance, data testing, or quality engineering
- Strong hands-on experience with SQL and databases such as Snowflake, Redshift, SQL Server, MySQL, or PostgreSQL
- Experience testing data warehouses, ETL/ELT pipelines, and large-scale data platforms
- Familiarity with cloud environments such as AWS, Azure, or GCP
- Experience with defect tracking and test management tools such as Jira or Azure DevOps
- Exposure to AI-powered tools and technologies, including AI assistants and prompt engineering
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and stakeholder management abilities
- Experience with data testing automation frameworks and data quality tools
- Exposure to BI and reporting platforms such as Power BI or Tableau
- Experience supporting both on-premises and cloud-native data platforms
- Knowledge of Agile/Scrum methodologies and software development lifecycle best practices
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
