Full-stack Developer (Analytics Developer III)Pay Rate: $83,000 - $121,000The Job You Will Perform:Core ResponsibilitiesBuild and maintain internal interfaces: Internal interfaces with pre-approved software stack with contracted SaaS vendorsExternal vendor buildsAccelerate AI adoption and standardize scalable AI solutions across manufacturing and business functionsDevelop analytics applications, dashboards, and operational reporting solutions used by manufacturing, reliability, quality, and engineering teamsBuild integrations between operational data sources, business systems, and analytical applicationsSupport user-facing tools that enable data-driven decision making across mills and corporate functionsIntegrate backend logic:APIsData pipelinesML outputs to UIProcess historian and manufacturing system data integrations and connectionsData transformation, validation, and business logic supporting analytical workflowsPredictive analytics and recommendation engines that support operational improvement initiativesAdditional General ResponsibilitiesReduce engineering bottlenecksImprove speed to valueSupport end to end integration of development from data extraction to backend architecture/API endpoints to frontend development with REACT and Angular frameworksExplore and implement advanced capabilities (agent automation, recommendations, closed-loop optimization)Positions the team to scale AI/analytics capabilities as AI software stack matures rather than reacting later with limited capacityDevelop and maintain automated reporting, monitoring, and alerting solutionsSupport collection, cleansing, transformation, and governance of manufacturing and operational dataPartner with operations, process engineers, reliability engineers, maintenance teams, and business stakeholders to identify and deliver analytics solutionsApply statistical analysis, machine learning, and data science techniques to support process optimization, reliability improvement, quality enhancement, and operational performance initiativesEvaluate and implement AI-enabled tools while validating outputs and ensuring responsible business useTranslate operational and business requirements into scalable analytical solutionsIdentify opportunities to automate manual processes and improve existing workflowsSupport deployment, testing, documentation, and continuous improvement of analytics solutionsPreferred ExperienceBachelor's Degree in Computer Science, Software Engineering, Data Science, Engineering, or related field + 2 years of relevant experience; equivalent Master's degree accepted; non-relevant bachelor's degree requires 5+ years of equivalent hands-on experience.Hands-on experience developing: REACT, Angular, JavaScript, Python, SQL, TypeScript, RESTful APIs, Node.jsAnalytics applications, dashboards, and operational reporting solutionsAPI integrations, data pipelines, and automated workflowsCustom applications that solve manufacturing, operational, or business problemsUser-friendly UI/UX design, including clean visual layout, intuitive navigation, error-proofing, and practical usability for business and manufacturing usersExperience working with: SQL databases, APIs, process historians, manufacturing systems, and time-series dataData transformation, validation, and business logicMicrosoft-based development environments and tools, preferably including Azure DevOps repositories, source control, and collaboration within a Microsoft enterprise ecosystemEnd-to-end workflows (data ingestion ? processing ? analytics ? user interface)Demonstrated ability to: Develop user-facing analytics tools and applicationsIntegrate applications with operational and business data sourcesBuild solutions that support manufacturing, reliability, quality, or operational improvement initiativesOwn projects from concept through deploymentApplication Requirements: ResumeGitHub, portfolio, or equivalent examples of technical work; for hiring review purposes, submitted examples should not include AI-assisted builds.
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