Data Engineering Intern
About The Position
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Overview We are seeking a motivated Data Engineering Intern to support manufacturing and operations advanced analytics/AI initiative. This role provides hands-on experience working with enterprise datasets, building data transformations, data pipelines and supporting analytics infrastructure. The ideal candidate has a strong foundation in SQL and data modeling an interest in data engineering, and a desire to learn modern data platforms such as Databricks. Exposure to manufacturing, operations, supply chain, data science, or Tableau is a plus. This internship offers practical experience developing scalable data workflows and supporting real-world business analytics.
Requirements
- Qualified candidates will be enrolled in a Bachelor’s or Master’s degree program in Mechanical/Operations/Data Science/Computer Science Engineering or a related major.
- Students must be recently graduated, or graduating this Spring.
- Working knowledge of SQL (joins, aggregations, filtering, basic subqueries)
Nice To Haves
- Exposure to Python for data processing
- AI for data analytics and insights
- Familiarity with Git for version control
- Experience building pipelines for reporting
- Exposure to basic data science concepts or coursework
- Ability to work in a team environment
- Strong problem-solving skills and attention to detail
Responsibilities
- Assist in developing and maintaining ELT pipelines in Databricks/python
- Write and enhance SQL queries for data transformation, aggregation, and validation
- Perform data quality checks and help troubleshoot pipeline issues
- Optimize basic SQL queries for readability and performance
- Assist with ingesting structured and semi-structured data
- Document transformation logic, table definitions, and data sources
- Collaborate with data engineers, analysts, and manufacturing stakeholders to support analytics needs
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What This Job Offers
Career Level
Intern
Number of Employees
1,001-5,000 employees
