Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Location: Remote, US Idaho Falls, ID, US Seattle, WA, US Albuquerque, NM, US Lenexa, KS, US Aiken, SC, US Atlanta, GA, US Houston, TX, US Dallas, TX, US Oak Ridge, TN

Requisition ID: 180215 Job Level: Mid Level Home District/Group: Kiewit Nuclear Solutions Department: Technology Group Market: Nuclear Employment Type: Full Time

Position Overview

Kiewit is seeking a Digital Model / BIM Automation Developer to support the processing, transformation, and delivery of engineering models across enterprise-scale EPC projects. This role is responsible for managing and scaling automated pipelines that deliver critical 3D model data to thousands of users daily. This is a highly technical, operations-focused role within the Digital Project Execution (DPE) team, requiring strong programming, data handling, and systems expertise. The position plays a key role in ensuring reliability, scalability, and performance of model delivery systems, while continuously improving automation processes to support rapid organizational growth.

Responsibilities

• Model Processing & Delivery
• Process, convert, and prepare engineering models for downstream use in UniversalPlantViewer (UPV) / Universal Digital Twin Hub / UDITH
• Manage and support the daily delivery of 100+ models to 3,000+ users across projects
• Ensure model quality, consistency, and availability across environments
• Troubleshoot model processing failures and implement corrective actions
• Automation & Optimization
• Develop, enhance, and maintain automation pipelines for model processing and delivery
• Identify opportunities to reduce manual intervention and improve system reliability
• Optimize existing workflows for performance, scalability, and maintainability
• Implement monitoring and alerting for critical automation processes
• Systems & Infrastructure Support
• Support general systems administration tasks related to model processing environments
• Maintain and improve infrastructure supporting automated workflows
• Ensure systems are stable, secure, and performant under increasing scale
• Data & Integration
• Work with structured data using SQL to support model metadata and integration workflows
• Integrate model data with downstream systems and platforms (e.g., Common Data Environments, analytics tools)
• Support data transformation and validation processes
• Continuous Improvement & Scaling
• Contribute to scaling operations in a rapidly growing environment (~5x growth over recent years)
• Improve reliability and maintainability of model delivery systems
• Support onboarding of new projects and increased model volumes

Qualifications

Technology stack Primary: Universal Plant Viewer (UPV) Python (preferred) SQL Server / Azure SQL Model processing tools and formats (e.g., SmartPlant Review, Navisworks, 3D model platforms) Automation frameworks / scripting Supporting: Azure-based ecosystem (Data Factory, Databricks, Data Lake) CI/CD and scripting tools

Required qualifications Experience processing and converting engineering models Strong proficiency in a modern programming language (Python preferred) Engineering or construction industry experience (EPC environment preferred) Strong SQL skills for data manipulation and integration Proven ability to automate complex processes and workflows Strong systems and infrastructure fundamentals (systems administration experience preferred) Highly proficient in problem solving and troubleshooting complex technical issues Strong foundational knowledge of computers, data structures, and coding principles Ability to quickly learn new tools, systems, and workflows Strong sense of ownership and accountability for delivering business-critical systems Experience supporting high-availability systems used by large user bases (thousands of users) Experience documenting functional requirements, technical designs, and data workflows. Excellent written and verbal communication skills.

Preferred qualifications Background in data analytics or data engineering Experience training or supporting end users

Bonus experience Knowledge of engineering design tool ecosystems (Hexagon Smart Suite). Experience supporting data environments tied to project lifecycle systems. Exposure to large-scale project-based data environments.

Other Requirements: Regular, reliable attendance Work productively and meet deadlines timely Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies. Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required. FIELD ROLES ONLY May work at various different locations and conditions may vary Base Compensation: $136,000/yr - $142,000/yr (Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location) We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off. Equal Opportunity Employer, including disability and protected veteran status.