Operations Data Engineer (On Site Only)

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, machine learning concepts, or predictive modeling methods required.
• Strong problem-solving and communication skills with the ability to translate technical concepts into practical business solutions required.
• Experience designing, maintaining, or supporting data warehouse environments, including dimensional modeling, data marts, or semantic layers strongly preferred.
• Experience working with machine, test, process, traceability, or time-series manufacturing data strongly preferred.
• Familiarity with MES, ERP, SCADA, LabVIEW, IoT, or other manufacturing systems and with industrial integration technologies such as Kepware, OPC-UA, historians, or streaming architectures preferred.
• Demonstrated experience building and supporting production-ready solutions that are actively used by business stakeholders preferred.
• Familiarity with reporting and visualization platforms such as SSRS, Power BI, Grafana, Tableau, or similar tools preferred.
• Project management experience and demonstrated ability to lead cross-functional data initiatives preferred.
• Familiarity with Lean, Six Sigma, or Agile/Scrum methodologies preferred.
• Experience in FDA-regulated, medical device, or other highly regulated manufacturing environments preferred.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

• Standing - Constantly
• Walking - Constantly
• Sitting - Occasionally
• Lifting - Constantly
• Carrying - Constantly
• Pushing - Constantly
• Pulling - Constantly
• Talking - Occasionally
• Hearing - Frequently
• Repetitive Motions - Constantly
• Eye/Hand/Foot Coordination - Constantly

Working Conditions

• Extreme cold - Occasionally
• Extreme heat - Occasionally
• Humidity - Occasionally
• Wet - Occasionally
• Noise - Frequently

ZOLL is a fast-growing company that operates in more than 140 countries around the world. Our employees are inspired by a commitment to make a difference in patients' lives, and our culture values innovation, self-motivation and an entrepreneurial spirit. Join us in our efforts to improve outcomes for underserved patients suffering from critical cardiopulmonary conditions and help save more lives.

The annual salary for this position is:

$103,000.00 to $125,000.00

Factors which may affect starting salary include geography, skills, education, experience, and other qualifications of the successful candidate. Details of ZOLL's comprehensive benefits plans can be found at www.zollbenefits.com.

Applications will be accepted on an ongoing basis until this position is filled. For fully remote positions, compensation will comply with all applicable federal, state, and local wage laws, including minimum wage requirements, based on the employee’s primary work location.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability, or status as a protected veteran.

ADA: The employer will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990.