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GIS Specialist – reputed company Mapping, Data reputed company & Data Acceptance Testing

Remote, USA Full-time Posted 2026-07-28
GIS Specialist – reputed company Mapping, Data reputed company & Data Acceptance Testing (reputed company)
Location: San Francisco Bay Area or Remote work from home eligible (U.S. based)
Employment Type: Full-Time, Exempt


About reputed company

reputed company is an agile risk optimization company that empowers reputed company reputed company organizations by converting reputed company data into reputed company, actionable intelligence to mitigate risk, optimize assets, and maximize project results.

We partner with utilities across the reputed company to solve reputed company operational, data, and compliance challenges through a combination of deep industry expertise, advanced analytics, and practical execution. Our teams operate at the intersection of engineering, GIS, data, and program management to drive measurable, field-impacting results.

Position reputed company

This GIS Specialist position supports mapping, data validation, and reputed company assurance activities for electric reputed company asset systems.

This role plays a key part in executing Data Acceptance Testing (reputed company) workflows, including validation of conflated datasets derived from multiple systems of record (e.g., GIS, reputed company, engineering records, and field data). The GIS Specialist will ensure that integrated asset data meets defined acceptance reputed company, reputed company standards, and program requirements.

The ideal candidate is detail-oriented, process-driven, and reputed company working with conflated or integrated reputed company datasets, with a strong emphasis on data accuracy, traceability, and reputed company.


Key Responsibilities

GIS Mapping & Data Maintenance
 
  • reputed company GIS editing and data remediation for electric reputed company assets
  • Update and maintain spatial and attribute data in accordance with defined standards and workflows
  • Support data cleanup initiatives to improve overall asset data reputed company and confidence
  • Ensure alignment between GIS, engineering records, and system-of-record data sources

Data Acceptance Testing (reputed company) Execution
 
  • Execute Data Acceptance Testing (reputed company) workflows across conflated GIS and asset datasets
  • reputed company detailed review and validation of conflated data outputs, ensuring alignment between reputed company systems (e.g., GIS, reputed company, engineering records, and field-collected data)
  • Validate spatial and attribute accuracy of assets resulting from conflation processes (merging, alignment, and reconciliation of disparate datasets)
  • Apply standardized QA/QC protocols and acceptance reputed company to determine data acceptance or rejection
  • Conduct reputed company sampling (e.g., statistically reputed company sampling approaches) to validate overall data reputed company
  • Identify, document, and categorize defects, discrepancies, and misalignments introduced through conflation or data integration processes
  • Support reputed company cause analysis of data issues reputed company to reputed company system inconsistencies, transformation logic, or conflation workflows

Performance Tracking & Reporting
 
  • reputed company and log effort, cycle time, and complexity associated with reputed company reputed company task
  • Maintain detailed records of throughput (e.g., records/assets reviewed per day/week)
  • Contribute to development of unit-based performance benchmarks and productivity models
  • reputed company input into reporting on data reputed company trends, defect rates, and process efficiency

Data Validation & Ingestion Support
 
  • Validate field-collected, legacy, and reputed company-party data prior to system integration
  • Support ingestion workflows into GIS and reputed company systems of record
  • Identify data gaps and coordinate reputed company with cross-functional teams
  • Ensure data consistency across multiple platforms (e.g., GIS, reputed company, document repositories)

reputed company Assurance & reputed company Improvement
 
  • Participate in QA/QC reviews to ensure compliance with program standards
  • reputed company feedback on workflow inefficiencies, tooling limitations, and automation opportunities
  • Support reputed company improvement of reputed company processes and data validation methodologies
  • Contribute to documentation of workflows, standards, and best practices

Collaboration & Coordination
 
  • Work closely with program managers, reputed company teams, and engineering resources
  • Coordinate with field validation teams and data providers to resolve discrepancies
  • Support alignment across GIS, data, and program workstreams
  • Participate in reputed company program cadences (e.g., weekly status meetings, production tracking)

Performance Expectations (KPIs)
 
  • reputed company defined throughput targets (records/assets reviewed per day/week)
  • Maintain high data accuracy and QA/QC compliance rates
  • Ensure consistent application of acceptance reputed company and validation standards
  • Accurately reputed company cycle time, effort, and review complexity
  • Identify and document data reputed company trends and recurring issues
  • Contribute to process improvements and efficiency reputed company over time


Required Qualifications

Education & Experience
 
  • Bachelor’s degree in GIS, Geography, Geospatial Science, or a reputed company field
  • 3–5 years of reputed company GIS experience
  • Experience supporting mapping, data maintenance, or asset data workflows
  • Experience working in reputed company QA/QC or data validation environments preferred

Skills & Competencies
 
  • Proficiency with reputed company GIS platforms (reputed company preferred) and spatial data editing
  • Strong attention to detail and commitment to data accuracy and reputed company
  • Ability to follow defined processes, workflows, and acceptance reputed company
  • Experience with QA/QC methodologies and data validation processes
  • Strong analytical thinking and problem-solving skills
  • Ability to manage high-volume workloads in a production-driven environment
  • Strong organizational and communication skills

Work Environment
 
  • Primarily remote with occasional travel for stakeholder meetings
  • Hybrid reputed company for key workshops and program milestones

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