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Data Validation Jobs in Puerto Rico (NOW HIRING)

Invid, Llc.

Data Testing Engineer

San Juan, PR · On-site

$70 - $100/hr

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 ...

INVID

Data Testing Engineer

San Juan, PR · On-site

$90 - $120/hr

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 ...

FITS LLC

Validation Specialist

Dorado, PR · On-site

Validation lifecycle and documentation * Regulated environments (FDA, ISO, GMP ... Data analysis tools * Document management systems The Personality Part: * Our Next Piece is someone ...

FITS LLC

Validation Specialist

Dorado, PR · On-site

$70 - $90/hr

Validation lifecycle and documentation * Regulated environments (FDA, ISO, GMP ... Data analysis tools * Document management systems The Personality Part * Our Next Piece is someone ...

QRC Group

Validation Specialist

Aibonito, PR · On-site

$65 - $85/hr

Aibonito, Puerto Rico | Posted on 08/04/2026 We are looking for a qualified Validation Specialist ... Statistical data analysis. * Ability to work on multidisciplinary projects and comply with ...

Pinnaql

Validation Engineer

Barceloneta, PR · On-site

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Ensure data integrity and adherence to 21 CFR Part 11 requirements (if applicable to systems)

Pinnaql

Validation Specialist

Aibonito, PR · On-site

Support ongoing validation controls, including periodic requalification, continued monitoring, data trending, and management review . * Ensure validation activities remain compliant with applicable ...

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Data Validation information

What is a data validation?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What does a data validation do?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What are the key skills and qualifications needed to thrive in data validation, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

What is the work of data validation?

Data validation is a key responsibility in data validation roles, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. It often requires knowledge of data management tools and techniques to identify errors and prevent incorrect data from entering systems, supporting data quality and integrity.

What are popular job titles related to Data Validation jobs in Puerto Rico?

For Data Validation jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Validation jobs in Puerto Rico look for?

The top searched job categories for Data Validation jobs in Puerto Rico are:

Data Validation jobs near you
Infographic showing various Data Validation job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Testing Engineer

Invid, Llc.

San Juan, PR • On-site

$70 - $100/hr

Other

Medical, Life, Retirement, PTO

Posted 15 days ago

Job description

Job Summary

We are seeking a detail-oriented and analytical Data Testing 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 Responsibilities
  • Define and execute test strategies and test plans across data ingestion, transformation, and reporting layers, including UAT
  • Validate 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 release
  • Develop and maintain regression testing frameworks to support ongoing data and reporting changes
  • Document defects, test results, and release readiness criteria, ensuring clear audit trails
  • Collaborate with data engineers, BI developers, and business stakeholders to ensure high-quality data deliverables
  • Support Dev/Test/Prod release validation processes and continuous improvement of QA practices
Teamwork and Communication

Work 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 requirementsand specifications, provide status updates, and explain the work performed.

Required Qualifications
  • 5–7 years of experience in QA, data engineering, BI testing, or related roles
  • Proven experience testing ETL/ELT pipelines and BI/reporting solutions
  • Strong skills in data validation, reconciliation, and root cause analysis
  • Experience validating Power BI reports and dashboards, including UAT coordination
  • Familiarity with software/data release cycles (Dev/Test/Prod) and quality assurance best practices
  • Ability to work independently, define testing approaches, and manage end-to-end QA processes
  • Strong attention to detail with excellent documentation and communication skills
Preferred Qualifications
  • Experience with automated testing approaches for data validation and regression testing
  • Working knowledge of Python or scripting for automating data comparison and validation tasks
  • Familiarity with modern data platforms (e.g., Microsoft Fabric, Azure data ecosystem)
  • Understanding of data lineage, governance, and auditability concepts
  • Experience working in cross-functional teams within data transformation initiatives
Other requirements

Ability to obtain security clearance (if required)

US Resident | US Citizenship

Fully Bilingual (Spanish and English)

Work Modality: Hybrid

Location: San Juan, Puerto Rico

Benefits and Perks

We 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 leave
  • Company-sponsored health insurance coverage
  • Retirement plan to help you plan for the future
  • Hybrid work model offering flexibility between office and remote work
  • Flexible working hours to support work-life balance
  • Continuing education reimbursement to encourage professional development
  • Company-paid life insurance
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