Data Engineering Internship

ness 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.