Data Engineering Internship

The Data Engineering Intern will support the Business Technology team in enhancing our data foundation through hands‑on work with data warehousing, reporting, machine learning optimization, and Copilot AI enablement. This role is ideal for a student passionate about analytics, data engineering, and next‑generation BI tools who wants meaningful project ownership and exposure to enterprise‑level data environments.

This is a hybrid internship – ability to work in our HQ White Plains office and remotely.

Principal Duties and Responsibilities :

• Assist with data warehouse cleanup, optimization, and documentation to improve data reliability and performance.
• Support Power BI semantic model enhancements, including DAX optimization and report performance tuning.
• Partner with the team to implement Copilot AI enablement for Power BI, accelerating insights for business users.
• Contribute to machine learning model optimization, including feature engineering, testing, and performance assessments.
• Collaborate with cross‑functional teams to understand data needs and ensure smooth data flows within the Business Technology landscape.
• Participate in sprint planning, team stand‑ups, and review cycles as part of the BT project workflow.

Key Learnings :

• Data reporting methodologies and best practices
• Data modeling and semantic layer design
• Microsoft Fabric and modern data architecture approaches
• Power BI Copilot and AI‑assisted analytics
• Machine learning fundamentals, including model refinement and evaluation
• Exposure to enterprise data management, governance, and automation strategies

Requirements

• Pursuing a degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
• Foundational knowledge of data modeling, data warehousing, data structures, algorithms, machine learning coursework, and analytical concepts.
• Proficiency with SQL and familiarity with Power BI, DAX, and Python for data analysis and reporting.
• Strong problem‑solving skills and curiosity about emerging data and AI technologies.
• Ability to work collaboratively in a technical, fast‑paced environment.
• Interest in learning Microsoft Fabric, AI‑enabled analytics, and cloud‑based data solutions.

Benefits

• Highly competitive hourly rate-$25.00 an hour (34 hours per week). Program is 8-10 weeks. Preferred start date 6/1/26.

Mast-Jägermeister US, Inc. is an equal opportunity employer and encourages applicants from all backgrounds to apply. To be considered for this position, please submit your resume, cover letter, and a writing sample.

We thank all applicants for their interest, but only those selected for an interview will be contacted.