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Data Validation Jobs in Puerto Rico (NOW HIRING)

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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:

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.

CQV / CLEANING VALIDATION ENGINEER

Weil Group, Inc.

Juncos, PR • On-site

Full-time

Posted 6 days ago


Job description

Position Summary
The CQV/Cleaning Validation Engineer will develop and execute Cleaning Characterization and Cleaning Verification documentation and field activities for manufacturing equipment and process systems.
Key Responsibilities
•Prepare Cleaning Characterization protocols and final reports.
•Review applicable manufacturing procedures, batch records, equipment drawings, P&IDs, isometrics, and process recipes.
•Review equipment sequence of operations and cleaning cycles.
•Evaluate CIP/SIP circuits as applicable.
•Perform product contact surface area calculations.
•Perform field verification of equipment dimensions and product contact surfaces when information is not available or needs to be confirmed.
•Prepare sampling plans for TOC and microbiological surface sampling.
•Perform or support swab sampling and other sample collection activities required by the protocol.
•Coordinate sample labeling, custody, and delivery to the QC laboratory.
•Participate in Engineering Runs, Pre-PPQ, PPQ, changeover, and Release for Use activities, as required.
•Review process data and results against established acceptance criteria.
•Generate and review PI Historian trends, as applicable.
•Document discrepancies and support related investigation activities.
•Prepare final reports within the established project timelines.
•Perform peer review of calculations, data, and execution results when required.
•Provide execution support during off-shifts, weekends, or extended hours based on project needs.
Minimum Recommended Qualifications
•Bachelor's degree in Engineering, Chemistry, Microbiology, Biotechnology, Life Sciences, or related discipline.
•Minimum 5 years of pharmaceutical/biotechnology CQV or validation experience.
•Minimum 3 years of Cleaning Validation or Cleaning Verification experience.
•Knowledge of CIP systems, cleaning cycles, sampling strategies, TOC, and microbiological testing.
*Weil Group is proud to be an Equal Employment Opportunity Employer.*