Data Quality Specialist

Join a team that is shaping the future of pavement and transportation data.

As a Data Quality Specialist, you will play a hands-on role in delivering high-quality, defensible pavement condition datasets that directly support infrastructure planning and decision-making across the country. You’ll work at the intersection of field operations, advanced sensing technology, and data analysis—collaborating with experienced professionals who value accuracy, teamwork, and continuous improvement.

This is an opportunity to grow your technical expertise, contribute to meaningful infrastructure projects, and be part of a collaborative, fast-paced environment where your attention to detail and commitment to data quality truly matter.

This position is based in our Middleton, WI office and requires travel based on key projects.

Key Responsibilities

Field & Operations Support

• Develop and maintain route plans for pavement data collection based on project scope, roadway networks, and operational constraints.

• Coordinate with field collection teams to ensure routes, schedules, and coverage priorities are clearly communicated and executed.

• Monitor daily and weekly production to verify coverage completion and identify gaps requiring re-collection.

• Conduct field validation checks to confirm sensor performance, calibration accuracy, and compliance with data collection standards.

• Create and maintain validation and verification sites across states in accordance with contract specifications.

• Support troubleshooting of pavement sensor systems in collaboration with technical support and engineering teams.

Data Quality Control & Processing

• Perform quality control reviews of raw LCMS pavement profiles, intensity imagery, and 3D scans to verify completeness, clarity, and system health.

• Execute processing workflows for LCMS and profiler outputs, including IRI, rutting, faulting, cross-slope, and related metrics.

• Validate spatial accuracy, roadway segmentation integrity, LRS conflation, and compliance with project specifications.

• Identify, flag, and document anomalies, sensor artifacts, and data inconsistencies; coordinate corrective actions such as reprocessing or targeted field re-collection.

• Own end-to-end data quality assurance, including imagery QC, completeness validation, LCMS analysis, SSI QC, and attribute integrity checks.

Analysis & Reporting

• Compile and interpret pavement condition results for use in engineering analysis, planning, and client deliverables.

• Prepare technical reports, QA/QC summaries, and project documentation.

• Assist in the development of dashboards, GIS layers, and outputs using proprietary and GIS software.

• Support client inquiries related to distress definitions, QC methodologies, and interpretation of pavement results.

Project Support & Collaboration

• Partner closely with Project Managers and the Data Quality Manager to align quality checks and analysis activities with project timelines.

• Maintain clear, thorough documentation of QC procedures, processing decisions, and validation results.

• Participate in internal and external meetings to provide updates on progress, risks, and deliverables.

• Contribute to continuous improvement efforts related to pavement processing workflows, QA/QC procedures, and operational best practices.

• Bachelor’s degree in Civil Engineering, Transportation Engineering, Geomatics, Geography, GIS, or a related field (or equivalent relevant experience).

• Experience with pavement condition assessment, pavement management, or transportation asset data.

• Familiarity with LCMS, inertial profilers, or other automated pavement sensing technologies.

• Strong analytical skills and attention to detail when working with large, complex geospatial and pavement datasets.

• Proficiency with GIS tools such as ArcGIS or QGIS and related data analysis software.

• Strong written and verbal communication skills, with the ability to translate technical findings into clear reports and presentations.

• Ability to collaborate effectively with field teams, data analysts, engineers, and project managers.

Preferred

• Experience with ASTM and AASHTO pavement condition standards (e.g., ASTM D6433, AASHTO R56).

• Knowledge of roadway networks, mapping, and mobile mapping systems.

• Familiarity with QA/QC processes for geospatial and pavement datasets.

• Experience working with large datasets, scripting tools, or automated processing frameworks.

• Prior experience with roadway asset management software or pavement management systems.