Lead Senior QA Engineer

Job DescriptionJob Description

• The team is currently ONLY looking to interview candidates that are local to FL. (Since it IS Hybrid, they MUST mean only look at people who ARE in FL but would be staying or living local to Orlando)
• Interview Process : 1st round with panel team & a potential 2nd round with leadership.

Top skillsets needed : SQL and Python for data validation and automation, QA frameworks and tools such as PyTest, Great Expectations, dbt tests, or similar, BI and reporting tools (e.g., Tableau, Power BI)

EXTERNAL JOB DESCRIPTION :

We are seeking a Senior QA Engineer to join our growing team of data management and analytics professionals. In this role, you will lead and execute comprehensive testing strategies for data pipelines, ETL processes, reporting, and dashboard solutions. As a senior team member, you will drive automation initiatives, establish quality best practices, and serve as a key quality advocate across cross-functional teams. You will be responsible for ensuring data integrity, system performance, and high-quality deliverables in a dynamic and collaborative environment.

Key Responsibilities :

1. Quality Leadership & Strategy :

o Lead quality assurance efforts across the data lifecycle, from ingestion to visualization.

o Define and implement robust QA strategies, standards, and processes for data validation, transformation, and reporting accuracy.

o Mentor junior QA engineers and promote a culture of quality across engineering teams.

2. Advanced Testing Execution :

o Design, manage, and execute test plans to validate data completeness, accuracy, consistency, and performance across reporting and dashboard solutions.

o Conduct advanced data profiling and exploratory testing to uncover systemic data issues.

3. Automation & Framework Development :

o Develop, enhance, and maintain automated test suites and frameworks to support continuous integration and regression testing of data solutions.

o Partner with data engineers to integrate automated testing into CI / CD pipelines.

4. Cross-Functional Collaboration :

o Collaborate with engineering, analytics, product management, and business stakeholders to translate business requirements into test cases and quality metrics.

o Serve as the QA point of contact for data governance, engineering reviews, and UAT sessions.

5. Data Governance & Quality Standards :

o Establish and enforce best practices for data quality assurance and validation.

o Contribute to enterprise-wide data governance efforts to uphold standards for data accuracy and consistency.

6. Performance Monitoring & Issue Resolution :

o Design and maintain QA dashboards and KPIs to track data quality trends and highlight anomalies.

o Proactively monitor and troubleshoot performance bottlenecks in data pipelines.

o Lead root cause analysis for complex data issues and drive resolution in collaboration with engineering teams.

7. Documentation & Reporting :

o Maintain thorough documentation of test cases, processes, and defect reports.

o Communicate test findings, risks, and recommendations to technical and non-technical stakeholders.

Basic Qualifications

Required Education

Company DescriptionTenTek has been in business since 1989 and is recognized as a leading staffing provider of tech professionals to a growing client base.Company DescriptionTenTek has been in business since 1989 and is recognized as a leading staffing provider of tech professionals to a growing client base.