RIT Solutions, Inc. ยท 4 months ago
Lead QA Engineer (Automated)
Orlando, FL
Full-time
Onsite
Senior Level, Lead/Staff
5+ years expRIT Solutions, Inc. is seeking a Senior QA Engineer to join their 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.
Staffing & Recruiting
Responsibilities
Lead quality assurance efforts across the data lifecycle, from ingestion to visualization
Define and implement robust QA strategies, standards, and processes for data validation, transformation, and reporting accuracy
Mentor junior QA engineers and promote a culture of quality across engineering teams
Design, manage, and execute test plans to validate data completeness, accuracy, consistency, and performance across reporting and dashboard solutions
Conduct advanced data profiling and exploratory testing to uncover systemic data issues
Develop, enhance, and maintain automated test suites and frameworks to support continuous integration and regression testing of data solutions
Partner with data engineers to integrate automated testing into CI/CD pipelines
Collaborate with engineering, analytics, product management, and business stakeholders to translate business requirements into test cases and quality metrics
Serve as the QA point of contact for data governance, engineering reviews, and UAT sessions
Establish and enforce best practices for data quality assurance and validation
Contribute to enterprise-wide data governance efforts to uphold standards for data accuracy and consistency
Design and maintain QA dashboards and KPIs to track data quality trends and highlight anomalies
Proactively monitor and troubleshoot performance bottlenecks in data pipelines
Lead root cause analysis for complex data issues and drive resolution in collaboration with engineering teams
Maintain thorough documentation of test cases, processes, and defect reports
Communicate test findings, risks, and recommendations to technical and non-technical stakeholders
Qualification
Required
Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field
5+ years of experience in data quality assurance, preferably with a focus on data pipelines, reporting, and analytics solutions
Expertise in data testing methodologies, including data profiling, boundary and regression testing, and performance testing
Proficiency in SQL and Python for data validation and automation
Experience with QA frameworks and tools such as PyTest, Great Expectations, dbt tests, or similar
Familiarity with BI and reporting tools (e.g., Tableau, Power BI) to validate end-user dashboards and visualizations
Strong understanding of data management principles, including data mapping, data lineage, and metadata management
Proven ability to lead initiatives, mentor peers, and influence quality standards across teams
Experience working in Agile/Scrum environments with a strong commitment to iterative development and continuous improvement
Excellent problem-solving, communication, and stakeholder management skills
Company
RIT Solutions, Inc.
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201-500 employees
H1B Sponsorship
RIT Solutions, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (2)
Funding
Current Stage
Growth StageCompany data provided by crunchbase