IT Intern

We are seeking an IT Intern to support the development and implementation of a search and analytics solution using OpenSearch. This project focuses on enabling text-based search and analytics across multiple sets of unstructured data to improve visibility, insight, and decision-making. The intern will work cross-functionally with IT Infrastructure, SAP, and MES teams to design data ingestion pipelines, evaluate machine learning capabilities, and deliver meaningful visualizations and dashboards.

Pay range: $14 - 17 per hour

Principle Responsibilities

• Collaborate with IT Infrastructure to support server setup and environment configuration for OpenSearch.
• Work with SAP and MES teams to identify, source, and ingest unstructured data currently stored in systems such as SAP BW and MES.
• Design and implement automated data ingestion pipelines for at least five unstructured data sources, including but not limited to:
  • Customer Orders
  • Production Data
  • Sales Data
  • Web-Scraped Data
  • MES Data
• Analyze and evaluate OpenSearch machine learning plugins to determine best-fit use cases.
• Support user management, access controls, and security concepts within OpenSearch.
• Develop dashboards and visualizations (charts, graphs, etc.) to present search results and analytics.
• Perform a cost analysis related to scalability and future expansion of the solution.
• Conduct a pro/con analysis comparing OpenSearch capabilities to existing tools such as SAP BW and Power BI.

Qualifications

Competencies

• Strong analytical and problem-solving skills with the ability to work with unstructured data.
• Basic understanding of data pipelines, search technologies, or analytics platforms.
• Excellent interpersonal, verbal, and written communication skills.
• Ability to collaborate effectively with cross-functional technical teams.
• Highly motivated, curious, and eager to learn new technologies.
• Strong organizational skills with attention to detail.
• Ability to manage multiple tasks in a deadline-driven, fast-paced environment.

Experience/Experience

• Pursuing a degree in Information Technology, Computer Science, Data Science, or a related field
• Familiarity with Linux environments, scripting, or programming languages (e.g. Python, SQL) are a plus
• Must be proficient with Microsoft Office products, particularly Excel, Word, and Outlook.
• Knowledge of SAP a plus.

Additional Information

All your information will be kept confidential according to EEO guidelines.