Sr. Power BI Developer at Intertape Polymer Group (IPG)

Tampa, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Microsoft Fabric, Data Engineering, SQL, T-SQL, PySpark, Python, Data Modeling, DAX, Performance Tuning, Data Pipelines, Semantic Modeling, Data Governance, Business Intelligence, Analytics

Industry

Packaging and Containers Manufacturing

Description

Join the IPG Team! Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions—we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you! Position Description Title: Senior Power BI Developer Department: MIS Reports to: Sr. Director, Business Intelligence Status: Salaried Exempt Position Purpose: The Senior Power BI Developer will support enterprise analytics across manufacturing, supply chain, commercial, and corporate teams. This role is responsible for engineering Fabric‑based data pipelines, modeling semantic layers, and developing high‑impact Power BI reporting. Principal Accountabilities Data Engineering – 50% Build and maintain Microsoft Fabric data pipelines (Lakehouse, OneLake, Data Factory, Dataflows Gen2). Develop transformation logic using PySpark/Spark and T‑SQL. Design reusable and scalable semantic models to support enterprise KPI standardization. Implement data quality validation, observability, lineage, and governance best practices. Analytics & Reporting – 50% Develop Power BI datasets, semantic models, and executive‑level dashboards. Write optimized DAX measures and apply performance tuning best practices. Conduct business requirements workshops and translate needs into report and model designs. Support self‑service analytics adoption across IPG and empower business teams. Collaboration & Leadership Partner with global teams across operations, supply chain, commercial, and corporate functions. Contribute to analytics standards, documentation, and BI best practices. Provide mentorship, training, and support where appropriate. Essential Skills & Experience 3–5 years of BI development and data engineering experience. Hands-on experience with Microsoft Fabric. Strong Power BI expertise (data modeling, DAX, performance tuning). Proficiency in SQL (T‑SQL), PySpark, and Python. Why Choose IPG? At IPG, you will find more than just a job—you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive. Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people. With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish! We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG. You belong here. Join us today!

Responsibilities

The Senior Power BI Developer will engineer Fabric-based data pipelines and develop high-impact Power BI reporting for enterprise analytics. This role involves modeling semantic layers, ensuring data quality, and supporting self-service analytics across various business functions.