{"schemaVersion":"jobsearcher.job.v1","id":"bb3117e9102d6658b44c2096","url":"https://jobsearcher.com/jobs/bb3117e9102d6658b44c2096","canonicalUrl":"https://jobsearcher.com/jobs/bb3117e9102d6658b44c2096","title":"Risk Modeling & Analytics Engineer","description":"Your Opportunity\nWe are seeking a creative and talented engineer to lead and support our client with the development of Quantitative Risk Analysis tools. These tools range from simple data mappers to standalone analytical tools to perform various types of risk analyses (e.g., pipe rupture, fire/explosion, equipment reliability, etc.), to large scale calculation engines to perform system-wide risk and reliability analysis.\nYou will be exposed to all aspects of development including solution architecting, front-end development, back-end development, project management, and deployment. This is a rare opportunity to enhance your skills in data modeling and programming for scientific and technically complex use cases. Moreover, you will get to directly support the implementation of your work product for critical business decisions!\nThis position will be working with our Energy business operating unit and client in the Houston, TX area.\nYour Key Responsibilities\nCollaborate with risk specialists and other subject matter experts to understand business requirement and translate them to technical requirements.\nDesign and document solution architecture aimed at high availability and reliability, high performance (speed, efficiency), and to be scalable, modular, and secure.\nApply industry best practices for documentation, design, verification, and validation of development projects.\nDevelop scalable and modular front end and back-end applications.\nDevelop data models, algorithms, data structures, APIs, etc.\nDesign UX/UI, including wireframes, through a collaborative effort with end-users.\nMaintain and continuously improve custom Excel functions and scripts.\nManage deployment of software tools, continuous integration, and resource monitoring.\nManage continuous integration and continuous deployment with containerized applications.\nTroubleshoot and correct issues/bugs across the entire technology stack for a given application deployment, with an aim to minimize operational disruption.\nWrite technical documentation as required (UML, BPMN, etc.).\nYour Capabilities and Credentials\nExtensive experience with back end development (Python, SQL, Flask or Django API, Node.JS)\nExtensive experience with front end web development (HTML, CSS, JavaScript, and one or more frameworks React, Vue, Angular), Python GUI development (PyQt, Tkinter, wxPython, and/or PySide), and Command Line Interfaces\nExperience with version control tools such as Git and GitHub\nDemonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)\nStrong problem-solving skills and the ability to work independently or as part of a team\nStrong communication skills and the ability to convey complex technical concepts to non-technical stakeholders\nWillingness to work extended hours as needed to meet project deadlines.\nMust have a good driving record and valid Driver's License\nPrior to employment with Stantec, this position will require the successful passing of a drug & alcohol screen\nPreferred:\nExperience with containerized application deployments using Docker and Kubernetes\nExperience with Microsoft Azure Cloud ecosystem\nKnowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.)\nDemonstrated ability to work with large data sets using Python and SQL for data mining and machine learning.\nKnowledge of quantitative risk analysis and related disciplines (e.g., reliability, asset integrity)\nExperience in oil and gas pipeline operating company\nEducation and Experience\nBachelor's Degree in Engineering or another technical field, Master’s Degree preferred\n5+ years of directly relevant work experience\n\n#J-18808-Ljbffr","company":"Stantec","rawCompany":"stantec","city":"Irving","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:57:14.185Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Risk Modeling & Analytics Engineer","description":"Your Opportunity\nWe are seeking a creative and talented engineer to lead and support our client with the development of Quantitative Risk Analysis tools. These tools range from simple data mappers to standalone analytical tools to perform various types of risk analyses (e.g., pipe rupture, fire/explosion, equipment reliability, etc.), to large scale calculation engines to perform system-wide risk and reliability analysis.\nYou will be exposed to all aspects of development including solution architecting, front-end development, back-end development, project management, and deployment. This is a rare opportunity to enhance your skills in data modeling and programming for scientific and technically complex use cases. Moreover, you will get to directly support the implementation of your work product for critical business decisions!\nThis position will be working with our Energy business operating unit and client in the Houston, TX area.\nYour Key Responsibilities\nCollaborate with risk specialists and other subject matter experts to understand business requirement and translate them to technical requirements.\nDesign and document solution architecture aimed at high availability and reliability, high performance (speed, efficiency), and to be scalable, modular, and secure.\nApply industry best practices for documentation, design, verification, and validation of development projects.\nDevelop scalable and modular front end and back-end applications.\nDevelop data models, algorithms, data structures, APIs, etc.\nDesign UX/UI, including wireframes, through a collaborative effort with end-users.\nMaintain and continuously improve custom Excel functions and scripts.\nManage deployment of software tools, continuous integration, and resource monitoring.\nManage continuous integration and continuous deployment with containerized applications.\nTroubleshoot and correct issues/bugs across the entire technology stack for a given application deployment, with an aim to minimize operational disruption.\nWrite technical documentation as required (UML, BPMN, etc.).\nYour Capabilities and Credentials\nExtensive experience with back end development (Python, SQL, Flask or Django API, Node.JS)\nExtensive experience with front end web development (HTML, CSS, JavaScript, and one or more frameworks React, Vue, Angular), Python GUI development (PyQt, Tkinter, wxPython, and/or PySide), and Command Line Interfaces\nExperience with version control tools such as Git and GitHub\nDemonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)\nStrong problem-solving skills and the ability to work independently or as part of a team\nStrong communication skills and the ability to convey complex technical concepts to non-technical stakeholders\nWillingness to work extended hours as needed to meet project deadlines.\nMust have a good driving record and valid Driver's License\nPrior to employment with Stantec, this position will require the successful passing of a drug & alcohol screen\nPreferred:\nExperience with containerized application deployments using Docker and Kubernetes\nExperience with Microsoft Azure Cloud ecosystem\nKnowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.)\nDemonstrated ability to work with large data sets using Python and SQL for data mining and machine learning.\nKnowledge of quantitative risk analysis and related disciplines (e.g., reliability, asset integrity)\nExperience in oil and gas pipeline operating company\nEducation and Experience\nBachelor's Degree in Engineering or another technical field, Master’s Degree preferred\n5+ years of directly relevant work experience\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:57:14.185Z","dateModified":"2026-07-16T03:57:14.185Z","hiringOrganization":{"@type":"Organization","name":"Stantec","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Irving","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bb3117e9102d6658b44c2096"},"url":"https://jobsearcher.com/jobs/bb3117e9102d6658b44c2096"}}