Sr. Data Engineer

Senior Data Engineer – Microsoft Fabric & Power BI

What is IP Corporation?

IP Corporation is a privately held, family-owned chemical manufacturing organization with more than 70 years of stability, innovation, and growth.

Headquartered in Minnesota, IP Corporation supports a portfolio of operating companies that manufacture and distribute resins, gel coats, composite materials, and specialty polymer solutions used across a wide range of industrial applications.

Our operating companies—Interplastic Corporation, North American Composites, HK Research, and Molding Products—work together to deliver technical expertise, high-quality products, and long-term partnerships to customers around the world. We are known for our customer-first mindset, strong technical capabilities, and collaborative culture built on trust, accountability, and continuous improvement.

What is a Senior Data Engineer, Microsoft Fabric & Power BI?

The Senior Data Engineer – Microsoft Fabric & Power BI is responsible for designing, building, and optimizing the enterprise data infrastructure that powers business intelligence across IP Corporation. This role combines data engineering, analytics, and business intelligence development to transform operational and manufacturing data into trusted, actionable insights.

Working closely with the Data Architect and business stakeholders, this individual will develop scalable data pipelines, manage Microsoft Fabric data environments, and create impactful Power BI dashboards that support informed decision-making across the organization. The ideal candidate is passionate about modern data platforms, industrial data integration, and building enterprise solutions that enable data-driven business outcomes.

What You'll Do as a Senior Data Engineer, Microsoft Fabric & Power BI:

• Design, develop, and maintain scalable data pipelines that extract data from operational technology (OT) systems, including historians, SCADA systems, PLCs, and OPC UA sources.
• Build robust ingestion pipelines that support both batch and near real-time data processing into Microsoft Fabric.
• Land, transform, cleanse, and model enterprise data within One Lake, Lakehouse, and Warehouse environments.
• Optimize data pipelines for reliability, scalability, performance, and cost efficiency.
• Monitor and troubleshoot data pipeline performance while proactively identifying opportunities for improvement.

Business Intelligence & Analytics

• Design, develop, and maintain Power BI semantic models, dashboards, and enterprise reporting solutions.
• Develop optimized DAX measures and data models that support self-service analytics across the organization.
• Establish reporting standards, visualization best practices, and reusable reporting assets.
• Partner with business stakeholders to understand reporting needs and translate business questions into actionable analytics.
• Continuously improve reporting capabilities to support strategic and operational decision-making.

Microsoft Fabric Platform Development

• Work closely with the Data Architect to expand and enhance the Microsoft Fabric ecosystem.
• Develop and maintain Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Dataflows, and Pipelines.
• Support enterprise data governance initiatives, including metadata management, security, lineage, and access controls.
• Assist with implementation of Microsoft Purview and other governance tools as needed.
• Ensure enterprise data solutions follow Microsoft Fabric best practices and architectural standards.

Cross-Functional Collaboration

• Collaborate with IT, manufacturing, operations, engineering, and business teams to identify opportunities for leveraging enterprise data.
• Participate in Agile/Scrum ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
• Support data integration projects involving manufacturing systems, ERP platforms, and other enterprise applications.
• Document technical solutions, data models, and pipeline architecture to support long-term maintainability.
• Promote a culture of data quality, continuous improvement, and data-driven decision-making across the organization.

What We're Looking For in a Senior Data…