GIS Specialist - Utility Mapping, Data Quality & Data Acceptance Testing [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a GIS Specialist – Utility Mapping, Data Quality & Data Acceptance Testing based in the United States.

The GIS Specialist – Utility Mapping, Data Quality & Data Acceptance Testing plays a critical role in maintaining accurate and reliable utility asset data through mapping, validation, and quality assurance activities. This position supports complex data integration initiatives by reviewing and validating datasets from multiple sources, including GIS platforms, engineering records, and field data. The successful candidate will help ensure data accuracy, consistency, and compliance with established acceptance standards. Working at the intersection of GIS, engineering, and data management, this role contributes directly to improving utility operations and asset reliability. This is an opportunity for a detail-oriented GIS professional to support impactful infrastructure projects within a collaborative, remote-friendly environment.

Accountabilities:

The GIS Specialist is responsible for executing GIS editing, data validation, and Data Acceptance Testing (DAT) activities to ensure utility asset information meets quality standards and program requirements. The role requires strong analytical skills, attention to detail, and the ability to work with complex, integrated datasets.

• Perform GIS editing, data remediation, and maintenance activities for electric utility assets.
• Update and maintain spatial and attribute data according to established standards, workflows, and quality requirements.
• Execute Data Acceptance Testing (DAT) workflows across integrated and conflated GIS and asset datasets.
• Review and validate data outputs from multiple sources, including GIS, SAP, engineering records, and field-collected information.
• Assess spatial accuracy, attribute completeness, and data consistency resulting from data integration and reconciliation processes.
• Apply QA/QC procedures and acceptance criteria to determine whether datasets meet defined standards.
• Conduct structured sampling and validation reviews to measure overall data quality.
• Identify, document, and categorize defects, inconsistencies, and data quality issues.
• Support root cause analysis related to source system discrepancies, transformation processes, and data workflows.
• Track productivity metrics, including review volumes, cycle times, effort, and task complexity.
• Contribute to reporting on data quality trends, defect rates, and process improvements.
• Validate legacy, field, and third-party data before integration into GIS and related systems.
• Collaborate with program managers, engineering teams, quality teams, and data stakeholders to resolve discrepancies.
• Participate in continuous improvement initiatives, workflow documentation, and best practice development.

Requirements:

The ideal candidate is an experienced GIS professional with a strong background in utility mapping, spatial data management, and quality assurance processes. This role requires technical expertise, analytical thinking, and the ability to manage high-volume data validation activities while maintaining accuracy and consistency.

• Bachelor’s degree in GIS, Geography, Geospatial Science, or a related field.
• 3–5 years of professional GIS experience.
• Experience supporting mapping, asset data maintenance, or utility data workflows.
• Experience working in structured QA/QC, data validation, or data acceptance testing environments preferred.
• Proficiency with enterprise GIS platforms, particularly Esri ArcGIS tools, and spatial data editing.
• Experience working with utility infrastructure data, including asset systems and engineering records.
• Strong understanding of geographic data types, including land base, imagery, and utility infrastructure datasets.
• Ability to follow defined workflows, validation standards, and acceptance criteria.
• Strong analytical, problem-solving, and troubleshooting skills.
• High attention to detail and commitment to data accuracy and quality.
• Ability to manage large datasets and production-driven workloads effectively.
• Strong organizational and communication skills.
• Proficiency with Microsoft Office Suite, including Word, Excel, and Access.
• Ability to work independently in a remote environment while collaborating with cross-functional teams.

Benefits:

• Competitive compensation based on experience, qualifications, geographic location, and market conditions.
• Remote work flexibility for U.S.-based candidates.
• Comprehensive health and welfare benefits package.
• Medical, dental, and vision insurance coverage.
• Disability insurance, including short-term and long-term disability options.
• Flexible Spending Account and Health Savings Account options.
• Basic life and accidental death and dismemberment insurance.
• 401(k) retirement plan.
• Paid time off, company holidays, and leave programs.
• Flexible work schedules for eligible positions.
• Professional development opportunities, training, and certification support.
• Employee referral program and charitable contribution matching opportunities.
• Opportunity to contribute to large-scale utility data modernization and infrastructure initiatives.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.