Operations Data Engineer (On Site Only)

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

CMS At ZOLL, we're passionate about improving patient outcomes and helping save lives. We provide innovative technologies that make a meaningful difference in people's lives. Our medical devices, software and related services are used worldwide to diagnose and treat patients suffering from serious cardiopulmonary and respiratory conditions.

ZOLL Cardiac Management Solutions offers a unique portfolio of novel technologies designed to deliver better insights and better outcomes. On any given day, clinicians utilize these ZOLL products for tens of thousands of cardiac patients around the world:LifeVest , the world's first wearable defibrillator, has been trusted to protect more than 1M patients at risk of sudden cardiac death.HFMS (Heart Failure Management system) is a non-invasive, patch-based device that monitors pulmonary fluid levels and has been shown to reduce heart failure readmissions rates by 38 percent.TherOx Super Saturated Oxygen (SSO2) Therapy is the first FDA-approved therapy since the stent 20+ years ago to reduce infarct size in patients with the most severe heart attacks.

Heart disease is the leading cause of death for both men and women in the U.S. At ZOLL, your work will help to ensure cardiac patients get the life-saving therapy they need.

ZOLL has been Pittsburgh's Manufacturer of the Year, one of Western PA's Healthiest Employers, and even one of Pittsburgh's Coolest Offices. But it's our unique opportunity to impact people's lives that makes ZOLL the ideal place to build your career.

Job Type

ON-SITE ONLY IN PITTSBURGH, PA.

121 GAMMA DRIVE

PITTSBURGH, PA 15238

Job Summary

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.

Essential Functions

• 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.

Required/Preferred Education and Experience

Bachelor's degree in Information Systems, Computer Science, Engineering, Data Engineering, Data Analytics, or a related technical discipline or a compelling combination of education, certifications, and experience required; Master's degree preferred

5+ years of relevant experience designing, implementing, and supporting production data solutions in manufacturing, engineering, industrial, or similarly complex operational environments required.

Knowledge, Skills and Abilities

Prficiency with SQL Server, relational database design, data modeling, stored procedures, query optimization, and schema development required.

Experience developing ETL/ELT solutions and data pipelines required; experience with Azure Data Factory or similar integration tools preferred.

Proficiency with Python or a similar scripting language for automation, transformation, and integration tasks required.

Understanding of data governance, metadata, lineage, cybersecurity, and documentation best practices required.

Understanding the basics of statistical analysis, mac