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Data Engineering Internship at Mast-Jägermeister US | White Plains, NY

Mast-Jägermeister US, Inc.White Plains, New York, United States
Hybrid Internship $25/hr - $25/hr

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Experience Level

Entry Level

Qualifications

Qualifications:Pursuing a degree in Data Science, Computer Science, Information Systems, Engineering, or a related field. Basic understanding of data modeling, data warehousing, data structures, algorithms, and machine learning concepts. Proficiency in SQL and familiarity with Power BI, DAX, and Python for data analysis and reporting. Strong analytical and problem-solving skills, with a keen interest in emerging data and AI technologies. A collaborative mindset and the ability to thrive in a fast-paced technical environment. Eagerness to learn about Microsoft Fabric, AI-enabled analytics, and cloud-based data solutions.

About the job

Join our Business Technology team as a Data Engineering Intern! In this role, you'll play a vital part in strengthening our data infrastructure through practical experience in data warehousing, reporting, machine learning optimization, and AI enablement with Copilot. This internship is perfect for students eager to dive into analytics and data engineering, seeking ownership of significant projects and the chance to work with enterprise-level data systems.

This is a hybrid internship, offering the flexibility to work both in our White Plains office and remotely.

Key Responsibilities:

  • Assist with the cleanup, optimization, and documentation of our data warehouse to enhance data reliability and performance.
  • Support enhancements to the Power BI semantic model, focusing on DAX optimization and report performance tuning.
  • Collaborate with the team to implement Copilot AI enablement for Power BI, facilitating faster insights for business stakeholders.
  • Contribute to the optimization of machine learning models, including feature engineering, testing, and performance evaluations.
  • Work alongside cross-functional teams to identify data requirements and guarantee seamless data flows within our Business Technology framework.
  • Engage in sprint planning, team stand-ups, and review cycles as part of our project workflow.

Learning Outcomes:

  • Understanding of data reporting methodologies and industry best practices.
  • Insight into data modeling and semantic layer design.
  • Experience with Microsoft Fabric and modern data architecture techniques.
  • Familiarity with Power BI Copilot and AI-assisted analytics tools.
  • Foundational knowledge of machine learning principles, including model refinement and evaluation.
  • Exposure to enterprise-level data management, governance, and automation strategies.

About Mast-Jägermeister US, Inc.

Mast-Jägermeister US, Inc. is a leader in the beverage industry, known for its commitment to quality and innovation. We foster an inclusive workplace that values diversity and encourages creativity among our team members.

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