CMMS Data Integrity Specialist (Onsite, 12-Month Contract)

NES Fircroft; Williston (ND); On-site; USD 70,000 - 100,000; Full time

Job summary

NES Fircroft in Williston, ND is seeking an experienced CMMS Data Specialist contractor to review, validate, and cleanse maintenance and asset data ahead of system implementation. You will collaborate with Maintenance, Reliability, Operations, and Planning teams to ensure data accuracy and compliance with project standards.

Responsibilities include data validation, cleaning duplicates, supporting data migration and testing, and documenting findings with recommended corrective actions to keep

Qualifications

• 3+ years of experience with CMMS/EAM systems (SAP PM, Maximo, Infor EAM, Oracle, or similar).
• Experience in maintenance planning, scheduling, reliability, or asset management.
• Strong understanding of equipment master data, asset hierarchies, and preventive maintenance processes.
• Advanced Microsoft Excel skills for data review and analysis.
• Strong attention to detail and ability to work independently.

Responsibilities

• Review and validate equipment, asset, and functional location data.
• Identify and resolve data quality issues, duplicates, and inconsistencies.
• Verify asset registry, criticalities and tagging.
• Support data migration, testing, and user acceptance activities.
• Document findings and track corrective actions.
• Collaborate with site stakeholders to ensure accurate and complete CMMS records.

Skills

CMMS/Data management

Data cleansing

Data validation

Excel advanced

Independent worker

Tools

SAP PM

Maximo

Infor EAM

Oracle

Job description

NES Fircroft in Williston, ND is seeking an experienced CMMS Data Specialist contractor to review, validate, and cleanse maintenance and asset data ahead of system implementation. You will collaborate with Maintenance, Reliability, Operations, and Planning teams to ensure data accuracy and compliance with project standards.

Responsibilities include data validation, cleaning duplicates, supporting data migration and testing, and documenting findings with recommended corrective actions to keep