Data & Analytics Engineer

Role Overview

As a Data & Analytics Engineer, you’ll help transform data into meaningful business insights that drive decision-making across the organization. You will have the opportunity to build data pipelines, develop reporting solutions, and partner with teams across manufacturing, engineering, supply chain, quality, and finance to solve complex business challenges using modern cloud-based technologies.

What You Will Do

Build and support data pipelines, data models, and analytics solutions using modern cloud technologies. Develop reports and dashboard in Power BI that help drive business decisions. Partner with teams across manufacturing, engineering, supply chain, quality, and finance to solve business problems with data. Improve data quality, automate processes, and support enterprise analytics initiatives.

Why It Might Be a Fit

Eagerness to learn new technologies and work with business partners across the organization. Authorized to work in the United States.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Analytics, or a related field
• Co-op/Internship experience(s) in data analytics, business intelligence, data engineering, or a related area
• Experience with SQL and a general understanding of data modeling and reporting
• Exposure to tools such as Power BI, Python, Tableau, Excel, or similar technologies
• Exposure to Microsoft Fabric (lakehouses, Delta tables, data pipelines, notebooks, or semantic models) or relatable experience with Azure Data Factory, Azure Synapse, Databricks, Snowflake, or similar cloud data platforms preferred

Benefits

• Competitive pay
• Benefits
• 100% tuition reimbursement
• 401(k) program with company match
• 3 weeks of paid time off
• 12 paid holidays
• Ample volunteer opportunities
• Employee-led clubs and sports teams