Data Engineering Intern

Modern Technology Solutions Inc • Niceville, FL

2d • Remote

About The Position

MTSI is seeking a Data Engineering Intern to work remotely in support of their data, analytics, and modernization efforts. This role is well-suited for students who have completed foundational coursework in programming, databases, and analytics and want hands-on experience with data pipelines, enterprise data models, and documentation that supports scalable data operations.

Requirements

• Currently pursuing a degree in Data Science, Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
• Academic exposure to Python, SQL, and introductory ETL or data modeling concepts.
• Familiarity with Power BI, Tableau, or similar visualization tools.
• Strong analytical and problem-solving skills.
• Clear written and verbal communication skills.
• Ability to work independently and collaboratively.
• Ability to obtain/maintain a U.S. government security clearance.
• U.S. Citizenship is required.

Nice To Haves

• Exposure to Microsoft Azure, including concepts such as data storage, compute, networking basics, managed identities, or Azure-based ETL tooling (e.g., Azure Data Factory).
• Familiarity with cloud architectures or diagramming tools used for modeling enterprise systems.
• Experience using Git, GitLab, or GitHub for version control, including branching, merge requests, and basic CI/CD concepts.
• Basic understanding of ETL pipelines and data lineage.
• Familiarity with SQL optimization concepts or NoSQL systems.
• Experience working with JSON, XML, or APIs.

Responsibilities

• Assist with data collection, cleansing, and transformation for structured and semi-structured data.
• Use Python to perform data manipulation and exploratory analysis.
• Support basic data pipeline development and testing, including simple ETL/ELT tasks and verifying data flows between systems under team guidance.
• Develop data visualizations in Power BI or Tableau to communicate insights to stakeholders.
• Contribute to enterprise architecture artifacts, such as documenting source-to-target mappings, data dictionaries, and data lineage.
• Participate in version control workflows (commits, branching, pull requests) using Git-based tools.
• Draft and maintain documentation of data sources, pipeline steps, and visualization methodologies to support continuity and knowledge sharing.
• Perform other duties as assigned to support ongoing data engineering and analytics initiatives.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees