Manufacturing Data Engineer - ETL, SQL & Python

zoll; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

ZOLL is seeking an Operations Data Engineer in Pittsburgh, PA, to lead data-driven transformation and data infrastructure for reporting, analytics, automation, and decision making. You will own the Operations data warehouse and curate trusted datasets for dashboards and analytics.

The role requires building pipelines across MES, ERP, SCADA, IoT, and other systems, implementing ETL/ELT processes, and ensuring data quality, governance, and cybersecurity.

Qualifications

• Bachelor's degree in Information Systems, Computer Science, Engineering, Data Engineering, Data Analytics, or a related technical discipline; required.
• Minimum 5+ years designing, implementing, and supporting production data solutions in complex environments; required.
• Strong SQL Server data modeling, ETL/ELT experience, and data governance knowledge.

Responsibilities

• Design, develop, and maintain data pipelines connecting MES, ERP, SCADA, LabVIEW, IoT, and other systems.
• Own the Operations data warehouse, including data models, schemas, and performance optimization.
• Develop scalable ETL/ELT processes to publish trusted operational data.
• Implement time-series data ingestion, storage, and analytics for manufacturing and test systems.
• Automate data transformation, validation, monitoring, and documentation with Python/SQL.
• Publish trusted datasets for dashboards, reporting, analytics, and BI applications.
• Support data quality, governance, lineage, metadata, access control, and cybersecurity.
• Assist integration and digital transformation initiatives across Operational Systems.

Skills

SQL

Python

Data governance

Metadata management

Cybersecurity

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, Data Engineering, Data Analytics, or a related technical discipline

Master's degree preferred

Tools

Azure Data Factory

SQL Server

ETL/ELT tools

Job description

ZOLL is seeking an Operations Data Engineer in Pittsburgh, PA, to lead data-driven transformation and data infrastructure for reporting, analytics, automation, and decision making. You will own the Operations data warehouse and curate trusted datasets for dashboards and analytics.

The role requires building pipelines across MES, ERP, SCADA, IoT, and other systems, implementing ETL/ELT processes, and ensuring data quality, governance, and cybersecurity.