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Data Validator Jobs (NOW HIRING)

TiltEdge Solutions LLC

Plant Data Validator

Florence, SC · On-site

$85K - $95K/hr

Plant Data Validator Work Location: Florence, SC Duration: Fulltime/Direct Hire 1. Material Master Creation & Governance (SAP) • Create and maintain Material Masters (MM01/MM02) for: o Finished ...

Plugins Inc

Data Engineer Data Quality & Validation

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer - Data Quality & Validation Location: Dallas, TX (Hybrid - 3 Days Onsite) Job Type: Long-Term Contract Employment Type: W2 Only Interview Process: In-Person Client Interview (Mandatory ...

MM International

Data Validation Engineer

Denver, CO · On-site

Title - Data Validation Engineer Location: Denver, CO- onsite (local) * 5+ years in QA & Minimum experience 8-10 years overall, data validation, or related technical roles, with proven success in ...

Wipro Limited

Data Validation Engineer

Richfield, PA · On-site

$60K - $135K/yr

Data Validation Engineer City: Richfield State/Province: Minnesota Posting Start Date: 7/9/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Wipro Limited

Data Validation Engineer

Richfield, PA · On-site

$60K - $135K/yr

Data Validation Engineer City: Richfield State/Province: Minnesota Posting Start Date: 7/16/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

Aston Carter

Data Validation Specialist

Raleigh, NC · On-site

$22.50/hr

Data Validation Specialist Engage in customer and account data entry for both new and existing accounts. Validate data by identifying inconsistencies, errors, duplicates, and missing information. Use ...

New

Pwc

Data Validation Risk - Manager

Philadelphia, PA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

Washington, DC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

Dallas, TX

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

Atlanta, GA

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

New York, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

Charlotte, NC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

Pwc

Data Validation Risk - Manager

Florham Park, NJ

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Validation Risk Manager, you will play a pivotal role within our Risk ...

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Data Validator information

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How much do data validator jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data validator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Validator position, and why are they important?

To thrive as a Data Validator, you need strong attention to detail, analytical skills, and experience working with large datasets, often supported by a degree in information technology, mathematics, or a related field. Familiarity with data validation tools, database systems (like SQL), Excel, and sometimes industry-standard certifications such as CDMP (Certified Data Management Professional) can be advantageous. Excellent communication, problem-solving abilities, and the capacity to work independently or as part of a team are valuable soft skills. These competencies ensure accuracy, integrity, and reliability in data, which are critical for decision-making and business operations.

What challenges might I face as a Data Validator, and how can I overcome them?

As a Data Validator, you may encounter challenges like identifying subtle inconsistencies in large datasets, managing tight deadlines for data verification, and adapting to multiple data sources or formats. To overcome these hurdles, it’s important to develop strong troubleshooting skills, stay organized, and leverage automated validation tools whenever possible. Collaborating closely with data engineers and business analysts can also help clarify data requirements and resolve ambiguities. Building a thorough understanding of data processes within your organization will further equip you to handle these challenges effectively and efficiently.

What is a Data Validator job?

A Data Validator is responsible for ensuring the accuracy, consistency, and integrity of data within a system or dataset. They review, clean, and verify data to identify errors, inconsistencies, or missing information. This role is essential in industries that rely on high-quality data for decision-making, such as finance, healthcare, and research. Data Validators use various tools and techniques to cross-check and validate data against predefined standards or business rules. Their work helps maintain data reliability, improves efficiency, and supports better decision-making across an organization.

More about Data Validator jobs
What cities are hiring for Data Validator jobs? Cities with the most Data Validator job openings:
What are the most commonly searched types of Data Validator jobs? The most popular types of Data Validator jobs are:
What states have the most Data Validator jobs? States with the most job openings for Data Validator jobs include:
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Data Validator jobs near you
Infographic showing various Data Validator job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Plant Data Validator

Plant Data Validator

TiltEdge Solutions LLC

Florence, SC • On-site

$85K - $95K/hr

Full-time

Re-posted 17 days ago

Job description

Position: Plant Data Validator
Work Location: Florence, SC
Duration: Fulltime/Direct Hire
 
Job Description:
 
1. Material Master Creation & Governance (SAP)
•    Create and maintain Material Masters (MM01/MM02) for:
o    Finished Goods (FERT)
o    Semi-Finished Goods (HALB)
o    Raw Materials (ROH)
o    Spare Parts
o    Packaging Materials
•    Maintain all relevant SAP views:
o    Basic Data
o    MRP 1–4
o    Work Scheduling
o    Purchasing
o    Accounting
o    Sales (if applicable)
•    Define and validate:
o    MRP Type, Lot Size, Safety Stock
o    Procurement Type (In-house/External)
o    Production Storage Locations
o    Backflush indicators
o    Batch management (if applicable)
•    Ensure proper plant extension and cross-plant consistency.
•    Validate costing relevance and valuation class alignment.
________________________________________
2. Windchill Integration & Engineering Alignment
•    Review part creation in Windchill before SAP material creation.
•    Ensure proper mapping between:
o    Windchill Part Number
o    SAP Material Number
o    Revision levels
•    Validate Engineering BOM (EBOM) in Windchill prior to Manufacturing BOM creation.
•    Coordinate with Engineering for:
o    Part classification
o    Drawing approvals
o    Change notice release
•    Ensure revision control synchronization between Windchill and SAP.
•    Support digital thread alignment between PLM (Windchill) and ERP (SAP).
________________________________________
3. PDR (Product Data Release / Product Data Request) Process Ownership
•    Execute master data creation based on approved PDR workflow.
•    Validate completeness of PDR package:
o    Approved drawings
o    EBOM structure
o    Revision status
o    Engineering Change documentation
•    Ensure no material is created without proper approval workflow.
•    Maintain PDR tracking log and release documentation.
•    Ensure correct validity dates for:
o    BOM
o    Routing
o    Production Version
•    Participate in PDR review meetings with Engineering & Operations.
________________________________________
4. BOM & Routing Validation
•    Create and validate Manufacturing BOM (CS01/CS02):
o    Component accuracy
o    Quantity correctness
o    Alternative items
o    Validity periods
•    Create and validate Routings (CA01/CA02):
o    Work centers
o    Operation sequence
o    Standard times
o    Control keys
•    Ensure Production Version consistency between BOM & Routing.
•    Validate test window operations and production feasibility.
•    Support resolution of production order errors due to master data issues.
________________________________________
5. Engineering Change Management (ECR/ECO)
•    Implement Engineering Change Orders in SAP.
•    Ensure correct change numbers and effectivity dates.
•    Validate obsolete material phase-out process.
•    Support revision rollouts and supersession management.
•    Maintain audit trail of changes.
________________________________________
6. Data Quality & Compliance
•    Perform periodic plant master data audits.
•    Identify discrepancies between Windchill and SAP.
•    Develop master data validation checklists.
•    Support internal and external compliance audits.
•    Maintain data governance documentation.
________________________________________
7. Cross-Functional Collaboration
•    Partner with:
o    Product Engineering
o    Manufacturing
o    Production Planning
o    Supply Chain
o    Quality
o    IT / SAP Support
•    Act as plant-level SME for master data integrity.
•    Provide user training on master data best practices.

 
Qualification:
'•    Bachelor’s degree in Engineering, Industrial Engineering, Supply Chain, or related field.
•    3+ years experience in:
o    SAP PP/MM Master Data
o    Manufacturing environment
o    Engineering data validation