Operations Data Engineer (On Site Only)

About the role

The Operations Data Engineer supports ZOLL's smart manufacturing and data-driven transformation efforts by designing, building, and maintaining the data infrastructure needed for reporting, analytics, automation, and operational decision-making. This role owns the Operations data warehouse, develops and supports data pipelines, integrates manufacturing and enterprise systems, and curates trusted datasets for dashboards and analytics. The Operations Data Engineer is expected to be a versatile technical contributor who can adapt to evolving business needs and support a broad range of data engineering, automation, digital manufacturing, and advanced analytics initiatives.

Responsibilities

• Design, develop, and maintain data pipelines connecting MES, ERP, SCADA, LabVIEW, IoT, and other operational systems.
• Serve as technical owner of the Operations data warehouse, including data models, schemas, performance optimization, reliability, and availability.
• Develop and maintain scalable ETL/ELT processes that transform and publish trusted operational data.
• Implement and support time-series data ingestion, storage, retention, and analytics capabilities for manufacturing and test systems.
• Use SQL, Python, and related tools to automate data transformation, validation, monitoring, and documentation processes.
• Curate and publish trusted datasets for dashboards, reporting, analytics, and business intelligence applications.
• Establish and support data quality, governance, lineage, metadata, access control, and cybersecurity practices.
• Support integration and digital transformation initiatives by improving data availability, accessibility, and reliability across Operational Systems.
• Evaluate emerging technologies, architectures, and connectivity solutions that improve scalability, maintainability, or cost effectiveness.
• Develop working knowledge of advanced analytics, machine learning, and AI-enabled workflows to provide flexible support as Operational Systems capabilities evolve.
• Maintain documentation of data sources, relationships, transformation logic, business rules, and validation methods to support sustainability and knowledge transfer.
• Independently investigate and solve complex or ambiguous data and system challenges with limited direction.

Requirements

• Bachelor's degree in Information Systems,