Data & Systems Engineer

About the job

About the Role: We are looking for a technically versatile Data & Systems Engineer to join our growing team. In this role, you will be the cornerstone of our data infrastructure and business systems ecosystem — building and maintaining the data pipelines and warehouses that power critical business decisions, deploying AI-driven applications that streamline operations, and providing scripting and customization support across our core business platforms. You will work cross-functionally with Supply Chain, Finance, and other non-engineering business teams to ensure data is accurate, accessible, and actionable. Key Responsibilities: Data Infrastructure & Warehousing - Design, build, and manage scalable data pipelines that ingest, transform, and deliver data from multiple business systems - Own and maintain the enterprise data warehouse, ensuring it meets the reporting and analytical needs of Supply Chain, Finance, and other business functions - Monitor pipeline health, data quality, and system performance; proactively identify and resolve issues - Partner with business stakeholders to understand data requirements and translate them into reliable, well-documented data models AI Application Deployment & Agent Support - Deploy, maintain, and continuously improve AI-based applications and automation workflows that support business operations - Provide hands-on support for AI agents, with a focus on data integrity, accuracy, and output validation - Collaborate with business teams to identify opportunities where AI can reduce manual effort and improve process efficiency - Ensure responsible AI use by implementing appropriate monitoring, logging, and data governance practices Business Systems Scripting & Customization - Develop and maintain scripts, workflows, and customizations within NetSuite (SuiteScript), Arena PLM, and other business applications - Partner with functional teams to gather requirements and implement system enhancements that improve usability and process alignment - Troubleshoot and resolve issues related to system integrations, custom scripts, and automated workflows - Maintain clear documentation of all customizations and configurations to support audits and future changes Qualifications: Required - 3+ years of experience in data engineering, business systems engineering, or a similar technical role - Proficiency in SQL and at least one scripting/programming language (Python, JavaScript, or equivalent) - Hands-on experience building and managing data pipelines and ETL/ELT workflows - Familiarity with data warehousing concepts and tools (e.g., Snowflake, BigQuery, Redshift, dbt) - Experience with NetSuite (SuiteScript) or other ERP/PLM customization and scripting - Strong understanding of data quality, data governance, and documentation best practices Preferred - Experience deploying or supporting AI/ML applications or LLM-based agents in a business context - Familiarity with Arena PLM or similar product lifecycle management systems - Experience working with Supply Chain or Finance data domains - Exposure to workflow automation tools (e.g., Zapier, Make, or similar)