Intermediate Professional, Data Modelling

WSP • Valhalla, NY

4d • $80,000 - $120,000

About The Position

WSP is currently seeking a Data Modeler to join our growing team in Valhalla, NY , with a strong emphasis on data capture, point cloud processing, and Scan-to-BIM workflows . This opportunity is ideal for someone passionate about structuring complex datasets derived from laser scanning, reality capture, and digital surveys, transforming them into reliable, scalable BIM-ready data assets. The role will support the integration of field-collected data into coordinated BIM environments, enabling accurate modeling, analysis, and decision-making across infrastructure, engineering, and transportation programs. You will collaborate with multidisciplinary teams across the U.S., contributing to data pipelines that bridge reality capture and digital design , and support project delivery, reporting, and strategic initiatives.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, Mathematics, or a related field, with exposure to BIM, reality capture, or geospatial technologies preferred.
• 1–3 years of experience in data modeling, point cloud processing, Scan-to-BIM workflows, or database-related work (internships included).
• Foundational understanding of relational databases, SQL, and data modeling concepts (e.g., ERD, star/snowflake schemas), with the ability to structure and manage data derived from laser scanning and digital surveys.
• Ability to communicate technical concepts related to BIM, reality capture, and data workflows to non-technical stakeholders.
• Strong attention to detail and organizational skills, especially when handling large, complex point cloud and BIM datasets , with a willingness to learn and adapt to evolving technologies.
• Demonstrated ability to work collaboratively in multidisciplinary teams , supporting the integration of field data into coordinated BIM environments.

Nice To Haves

• Hands-on experience with reality capture and modeling tools (e.g., ReCap, Revit, Navisworks), with an emphasis on point cloud processing and Scan-to-BIM workflows .
• Experience with data modeling tools (e.g., ERWin, dbt, SQL Developer, Power BI modeling layer) is a plus.
• Familiarity with cloud-based data environments (e.g., ACC, Azure Synapse, Snowflake, AWS Redshift) for managing and integrating large-scale scan and BIM datasets.
• Exposure to Python, R, or similar scripting languages for processing point clouds, automating Scan-to-BIM tasks, and performing data transformation.
• Understanding of data governance, metadata standards, and master data management , particularly in the context of BIM and reality capture data.

Responsibilities

• Design, build, and maintain logical and physical data models (conceptual, relational, semantic, dimensional) that support Scan-to-BIM workflows and reality capture data integration .
• Collaborate with engineering, BIM, and multidisciplinary teams to translate field-collected data (laser scans, surveys, point clouds) into structured, BIM-ready data environments.
• Support data governance, data quality procedures, metadata standards, and BIM data modeling protocols , ensuring consistency across digital assets.
• Assist in maintaining and optimizing data pipelines that transform and integrate point cloud data into coordinated BIM models from multiple sources and platforms.
• Prepare data dictionaries, model element mapping, lineage documentation, and Scan-to-BIM specifications .
• Participate in data integration, validation, and QA/QC processes for reality capture and BIM datasets.
• Contribute to reporting and analytics by ensuring that data derived from scanning and BIM models supports accurate insights and decision-making.
• Uphold WSP’s standards for data integrity, digital delivery, and compliance , supporting reliable use of reality capture and BIM data across projects.

Benefits

• WSP provides a comprehensive suite of benefits focused on providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees