Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions
Kiewit, Houston, TX, United States
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.
District Overview This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions.
Location This is a remote position that may require some travel.
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.
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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.
District Overview This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions.
Location This is a remote position that may require some travel.
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.
#J-18808-Ljbffr