IT Data Engineer

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Hemlock Semiconductor (HSC) transforms people’s lives by energizing and connecting our world through silicon technology. Since 1961, HSC has been a leading global provider of hyper-pure polysilicon and is the only polysilicon manufacturer headquartered in the United States. HSC supports the semiconductor and solar industries with a vision to become the preferred supplier of silicon-enabled technologies to the low-carbon, digital world.

Our polysilicon is used to make computer chips – the “brains” behind electronic devices. HSC is one of six major manufacturers worldwide for polysilicon used in semiconductor wafers. Nearly all electronic devices contain HSC polysilicon. We are also advancing a greener future by supplying the solar power industry, with a focus on reducing supply chain carbon emissions. The low embodied greenhouse gas emissions in our polysilicon materials facilitate the production of ultra low-carbon solar panels, helping project developers and owners lower embodied carbon by up to 50 percent.

To achieve our goals, we draw on the talents of more than 1,500 employees and contractors. Our culture values teamwork, excellence, responsibility and customer focus. We recognize and value diverse backgrounds and experiences. At HSC, you belong to a team that is transforming our world.

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise-wide analytics and operational reporting. This role ensures the reliability, performance, and security of data platforms and contributes to the standardization and integration of data across systems. The Data Engineer collaborates with application developers, analysts, and business stakeholders to deliver high-quality data solutions aligned with business needs.

• Develop and maintain ETL/ELT pipelines across SAP S/4
  
  HANA and Microsoft Azure environments.
• Integrate data from SAP modules (FICO, MM, PP, SD, QM, PM) using SAP SLT, SAP CPI, and SAP Cloud Connector.
• Engineer data flows into SAP HANA Datamarts and Calculation Views using SAP HANA XS Advanced and Web IDE.
• Build and optimize data ingestion pipelines using Microsoft Data Fabric components such as MS Purview, Event Hub, Service Bus, and IoT Hub.
• Collaborate with business and IT stakeholders to define data requirements, understand usage patterns, and implement solutions using MS SQL Server, Databricks, and Azure Synapse.
• Ensure data quality, lineage, and governance across platforms using MS Purview and SAP GRC.
• Support manufacturing data historians (OSI PI, Sigmafine) and integrate with MES systems (Critical Manufacturing).
• Monitor and troubleshoot data pipeline performance using SAP HANA Cockpit, Azure Monitor, and Log Analytics.

• Participate in the deployment of next-generation analytics platforms including SAP Analytics Cloud and Microsoft Fabric.
• Support the delivery of certified analytics and data catalogs via MS Purview.
• Collaborate with cross-functional teams on Manufacturing 4.0 initiatives and MES integrations.
• Contribute to the continuous improvement of data architecture and analytics capabilities.
• Maintain documentation of data flows, integration points, and system configurations.

• Proficiency in SAP HANA, SAP S/4
  
  HANA, SAP SLT, SAP CPI, and SAP BTP.
• Experience with Microsoft Azure services including MS Fabric, MS Purview, Azure Data Factory, and Azure Synapse.
• Knowledge of data visualization tools such as SAP Analytics Cloud, Power BI, and Spotfire.
• Experience with data historians (OSI PI, Sigmafine) and manufacturing data integration.
• Understanding of data governance, security, and compliance frameworks.

• Curious:
  Explores the interconnection between data and business functions to develop optimal approaches and solutions.
• Tech Savvy:
  Embraces emerging technologies and applies them to solve complex data challenges.
• Collaborates:
  Works effectively across IT, OT, and business teams to deliver integrated solutions.
• Manages Complexity:
  Navigates large-scale enterprise systems and data…