QA Data EngineerWe are seeking a detail-oriented and analytical QA Data Engineer to ensure the accuracy, reliability, and quality of our data platform and reporting solutions. This role plays a critical part in validating data pipelines, transformations, and BI outputs, supporting key goals around data accuracy, auditability, and release quality.The ideal candidate brings strong experience in data testing, reconciliation, and BI validation, with the ability to define testing strategies and ensure high-quality releases across the data lifecycle—from ingestion to reporting.What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely.
We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we're committed to your success.Duties and ResponsibilitiesDefine and execute test strategies and test plans across data ingestion, transformation, and reporting layers, including UATValidate data accuracy through end-to-end reconciliation (source vs. transformed vs. report-level outputs)Perform Power BI validation and testing in non-production environments prior to releaseDevelop and maintain regression testing frameworks to support ongoing data and reporting changesDocument defects, test results, and release readiness criteria, ensuring clear audit trailsCollaborate with data engineers, BI developers, and business stakeholders to ensure high-quality data deliverablesSupport Dev/Test/Prod release validation processes and continuous improvement of QA practicesTeamwork and CommunicationWork under Agile methodologies and frameworks such as Scrum or Kanban.
Provide daily status and feedback on the work performed. Assist in the analysis, design, development, and deployment of necessary data. Provide accurate explanations of any written code. Communicate with internal and external personnel in English or Spanish to discuss requirements and specifications, provide status updates, and explain the work performed.Required Qualifications5–7 years of experience in QA, data engineering, BI testing, or related rolesProven experience testing ETL/ELT pipelines and BI/reporting solutionsStrong skills in data validation, reconciliation, and root cause analysisExperience validating Power BI reports and dashboards, including UAT coordinationFamiliarity with software/data release cycles (Dev/Test/Prod) and quality assurance best practicesAbility to work independently, define testing approaches, and manage end-to-end QA processesStrong attention to detail with excellent documentation and communication skillsPreferred QualificationsExperience with automated testing approaches for data validation and regression testingWorking knowledge of Python or scripting for automating data comparison and validation tasksFamiliarity with modern data platforms (e.g., Microsoft Fabric, Azure data ecosystem)Understanding of data lineage, governance, and auditability conceptsExperience working in cross-functional teams within data transformation initiativesOther requirementsAbility to obtain security clearance (if required)US Resident | US CitizenshipFully Bilingual (Spanish and English)Work Modality: HybridLocation: San Juan, Puerto RicoBenefits and PerksWe believe in supporting our employees' well-being, growth, and work-life balance.
As part of our team, you will have access to a comprehensive benefits package that includes:Paid time off, including vacation and sick leaveCompany-sponsored health insurance coverageRetirement plan to help you plan for the futureHybrid work model offering flexibility between office and remote workFlexible working hours to support work-life balanceContinuing education reimbursement to encourage professional developmentCompany-paid life insurance