Minimum 5+ Years in Relevant Skills

Job Overview:

We are currently seeking a detail-oriented and technically strong Data Quality Engineer (Data QE) to join our growing data engineering team in Tampa, FL. The ideal candidate will have solid experience in ETL data warehousing, advanced SQL, and programming in Python or Java and will be well-versed in Agile delivery methodologies. This role will play a key part in designing, implementing, and maintaining scalable and automated data quality validation frameworks.

Key Responsibilities:

Design and Develop Automated Data Quality Tests

• Created and maintained automated test scripts and frameworks using tools such as Python, SQL, and modern data quality platforms.
• Develop robust data profiling and validation rules to detect anomalies, missing values, and other inconsistencies.
• Build and manage test data sets to support comprehensive testing scenarios.

Implement Data Quality Monitoring and Alerting

• Integrate automated tests into CI/CD pipelines for seamless and continuous data validation.
• Establish data quality monitoring dashboards and alerting mechanisms for proactive issue detection.
• Generate and maintain data quality metrics and reporting for business and engineering stakeholders.

Collaborate and Improve Data Quality Processes

• Partner with data engineers, analysts, and product owners to gather pipeline and business requirements.
• Participate in code reviews and contribute to defining data quality best practices.
• Identify opportunities for process automation and tooling improvements.
• Troubleshoot and resolve data quality issues, driving corrective actions across teams.

Data Governance and Compliance

• Ensure data quality activities align with data governance policies and meet relevant regulatory standards.
• Support the creation and maintenance of documentation related to testing procedures, standards, and data quality frameworks.

Required Technical Skills:

• Hands-on experience with ETL data warehousing systems.
• Strong SQL skills, including complex queries, optimization, and data validation.
• Programming experience in Python or Java for automation and scripting.
• Proven experience working in Agile methodologies (Scrum/Kanban).