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Mapping Validation Jobs (NOW HIRING)

Jobsbridge

Mobile Tester

Atlanta, GA

Should have experience in testing mobile applications and content mapping, validation & integration on mobile platforms. Any experience in education domain would be a plus. BSCS degree Applicant is ...

Fladger Associates

Validation Engineer

Fremont, CA · On-site

Data Integrity gap assessments/data process maps; Review qualification/validation packages * Support and/or assist with thermal mapping activities (e.g., for QC Controlled Temperature Units (TCU ...

Meriton

Data Analyst

Irving, TX · On-site

This Data Analyst role will support a multi-wave enterprise transformation program by helping prepare, assess, map, validate, and migrate data for D365 Finance & Operations (PMA) and D365 Project ...

3B Staffing LLC

Validation Engineer

Plainsboro, NJ · On-site

Experience using temperature mapping equipment including Kaye Validators and Valprobes. Job Title: Validation Engineer III_US Location (On-site, Remote, or Hybrid?): Plainsboro, NJ (onsite ...

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Mapping Validation information

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$22

$51

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How much do mapping validation jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for mapping validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a mapping validation specialist, and why are they important?

To thrive as a Mapping Validation Specialist, you need strong analytical skills, spatial awareness, and attention to detail, often supported by a degree in geography, GIS, or a related field. Familiarity with geographic information systems (GIS) software such as ArcGIS or QGIS, and experience with data validation tools and mapping standards, are typically required. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this position. These skills ensure the accuracy and reliability of mapping data, which is critical for decision-making in industries like urban planning, logistics, and navigation.

What is the difference between Mapping Validation vs Data Analyst?

AspectMapping ValidationData Analyst
Required CredentialsTypically certifications in GIS, data validation, or related fieldsOften requires degrees in statistics, data science, or related areas
Work EnvironmentPrimarily in GIS, mapping, or data validation teams within tech, government, or logisticsIn various industries including finance, marketing, healthcare, working with data analysis tools
Employer & Industry UsageUsed in GIS, mapping services, logistics, and infrastructure projectsWidely used across industries for data-driven decision making

Mapping Validation focuses on verifying the accuracy and integrity of geographic or spatial data, ensuring maps and spatial datasets are correct. Data Analysts interpret, process, and analyze data to support business decisions. While both roles handle data, Mapping Validation is specialized in spatial accuracy, whereas Data Analysts work with broader datasets across various domains.

What is mapping validation?

Mapping validation is the process of verifying that data mappings between two or more systems, databases, or data formats are correct and consistent. This ensures that information is transferred accurately and meets the required business or technical specifications. Mapping validation is crucial during data migration, integration, or transformation projects to prevent data loss, corruption, or misinterpretation. It typically involves checking field correspondences, data types, and transformation logic to ensure they align with project requirements.

What are some common challenges faced in a mapping validation role, and how can they be overcome?

Professionals in Mapping Validation often encounter challenges such as ensuring data accuracy, managing large datasets, and resolving discrepancies between various map sources. Collaborating closely with data engineers, GIS specialists, and project managers is essential to validate information efficiently. Staying updated with the latest mapping technologies and quality control standards can help overcome these challenges, as can developing strong attention to detail and problem-solving skills. Regular training and open communication within the validation team also contribute to maintaining high-quality mapping outputs.
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Mapping Validation jobs near you
Infographic showing various Mapping Validation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 3% Part Time, 1% Temporary, and 7% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.

Oracle HCM Data Conversion Lead

Winaxis

San Francisco, CA • On-site

Contractor

Re-posted 22 days ago

Job description

Job Summary (Oracle HCM Data Conversion Lead):
- Lead the end-to-end data conversion lifecycle for Oracle HCM Cloud implementations, including planning, extraction, transformation, validation, and loading (ETL).
- Develop and execute data conversion strategies, including data governance, cutover planning, and migration sequencing.
- Collaborate with functional leads, data owners, and technical teams to gather requirements and define data mapping rules from legacy systems to Oracle HCM Cloud.
- Oversee the development and automation of data conversion programs, scripts, and processes in accordance with Oracle HCM Cloud specifications.
- Coordinate mock conversions, trial loads, and final cutover activities to ensure successful data migration and system go-live.
- Perform thorough data quality checks, audits, and reconciliations to ensure data accuracy, integrity, and completeness post-migration.
- Lead troubleshooting and resolution of data load errors and validation failures.
- Ensure adherence to data security and privacy policies throughout the data handling process.
- Produce and maintain clear documentation, including conversion logs, data dictionaries, and reconciliation reports.
- Support all testing cycles (SIT, UAT) and provide data-related defect resolution.
- Collaborate with Oracle and third-party vendors to resolve data conversion issues.
- Utilize strong knowledge of Oracle HCM Cloud data structures and modules (Core HR, Payroll, Benefits, Talent, Absence, etc.).
- Proficiently use SQL, Excel, ETL tools, and Oracle HDL/HSDL/Spreadsheet Loader for data transformation and reconciliation.
- Apply expertise in data mapping, validation, and reconciliation techniques.
- Manage and mentor team members in data conversion activities as needed.
- Maintain strong project management and cross-functional collaboration skills to ensure project timelines and deliverables are met.
- Experience with legacy HRIS systems (e.g., Workday) is a plus.
- Bachelor’s degree or equivalent combination of education and relevant experience required.