Data Specialist

The Aftermarket Parts Packaging team is seeking an AI & Digital Solutions Engineer to develop, maintain, and continuously improve the artificial intelligence-enabled tools and digital applications that support packaging engineering.

This role will be the team's hands-on technical owner, working with packaging engineers and IT partners to quickly deliver enhancements, business-rule changes, workflows, integrations, and new capabilities using Snowflake data, artificial intelligence, analytics, and enterprise systems, including the internal packaging application EPSA.

What You Will Do:

• Serve as the technical expert and lead on implementing changes for Aftermarket Parts Packaging artificial intelligence and digital tools.
• Work directly with packaging engineers, IT partners, data owners, and application owners to translate packaging requirements into practical technical solutions.
• Contribute to solution design, data preparation, integration, testing, user acceptance, deployment, and production support.
• Maintain, configure, update, and continuously improve deployed artificial intelligence solutions.
• Implement approved changes to business rules, prompts, workflows, user interfaces, data mappings, reports, and integrations through agile delivery.
• Monitor performance, user feedback, recurring issues, data quality, and override patterns to identify improvements.
• Maintain documentation, test evidence, version history, and release records.

Application and Solution Development:

• Design, develop, test, deploy, and support full-stack web applications and cloud-based solutions.
• Build application programming interfaces and backend services that use Snowflake and other enterprise data platforms.
• Develop applications, utilities, agents, workflows, and decision-support tools for Aftermarket Parts Packaging.
• Perform enhancements to existing packaging applications, including the Salesforce-based internal packaging application EPSA.
• Use secure development, automated testing, code review, version control, logging, monitoring, and release-management practices.

AI, Data, and Enterprise Integration:

• Create artificial intelligence-enabled applications, agents, search experiences, and engineering workflows using enterprise technologies.
• Translate packaging standards, calculations, business rules, processes, and expert knowledge into tested decision logic and maintainable digital solutions.
• Develop data pipelines, analytics, application programming interfaces, and integrations connecting Snowflake, packaging applications, Salesforce-based solutions, and other platforms.
• Include appropriate human review, exception handling, auditability, and rollback for higher-risk decisions and integrations.
• Follow enterprise requirements for architecture, cybersecurity, data governance, access management, change management, and production releases.

What You Have:

• React.js, TypeScript, Hypertext Markup Language, and Cascading Style Sheets
• Python, including FastAPI or a similar framework
• Web-based application programming interfaces and full-stack application architecture
• Application security, automated testing, logging, monitoring, and production support
• Microsoft Azure
• Azure Functions, App Services, or similar services
• Git, code review, continuous integration and deployment pipelines
• Docker, release management, and rollback
• Strong structured query language and cloud data-platform experience
• Data modeling, transformation, quality validation, and integration
• Large language model applications, retrieval-based artificial intelligence, prompts, agents, and search
• Ability to combine business rules, enterprise data, artificial intelligence output, and human review
• Application programming interface-based system integration and workflow automation
• Experience enhancing and supporting enterprise applications
• Experience working within formal security, change, release, and support processes

Preferred Qualifications:

• Hands-on experience with Snowflake structured query language, Snowpark Python, or Snowflake Cortex.
• Experience with Azure OpenAI, LangChain, or LangGraph.
• Experience with Salesforce configuration or development, including Apex, Lightning Web Components, or Salesforce application programming interfaces.
• Experience with Microsoft Power Platform or Power BI.
• Experience supporting and continuously improving enterprise artificial intelligence solutions after launch.
• Knowledge of packaging, supply chain, manufacturing, aftermarket, or engineering processes.

Experience:

• 5+ years of full-stack application development experience.
• 3+ years of cloud-based solution development experience.
• Experience developing applications against a modern cloud data platform; direct Snowflake experience is preferred.
• Experience building artificial intelligence-enabled applications or intelligent workflows.
• Experience supporting solutions from requirements and design through deployment and ongoing improvement.

What is Success in This Role:

• Aftermarket Parts Packaging has a capable, hands-on technical expert for its artificial intelligence and digital tools.
• Packaging tools continue to improve as requirements, data, workflows, and user needs change.
• Enhancements are developed, tested, and released quickly.
• Solutions remain secure, maintainable, documented, tested, and monitored.
• Packaging engineers receive practical digital tools that reduce manual work, improve consistency, and support better decisions.

This position requires working onsite five days a week. Visa sponsorship is not available for this position.