INTERNSHIP DETAILS

Data Engineering Intern

CompanyModern Technology Solutions Inc
LocationNiceville
Work ModeOn Site
PostedApril 22, 2026
Internship Information
Core Responsibilities
Assist with data collection, cleansing, and transformation while supporting the development and testing of data pipelines. Create data visualizations to communicate insights and contribute to enterprise architecture documentation.
Internship Type
full time
Company Size
2251
Visa Sponsorship
No
Language
English
Working Hours
40 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and technology solutions company delivering first-choice capabilities to solve problems of global importance in the critical mission areas of missile defense, cyber security, intelligence, unmanned/autonomous systems, aviation, space, and homeland security. The MTSI mission is to make important and lasting contributions to the nation's defense and security by providing leadership and best- value solutions to solve America's most technically challenging strategic problems. Founded in 1993, MTSI today has employees at over 20 offices and field sites worldwide. For more information about MTSI, please visit www.mtsi-va.com. For current MTSI job openings, please visit www.mtsi-va.com/careers.
About the Role
MTSI is seeking a Data Engineering Intern to work remotely in support of our 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.

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.

Qualifications
  • 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.

Preferred Skills
These skills are not required, but are commonly seen across internal projects and will help you be successful:

Cloud & Data Platforms
  • 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.

Version Control & DevOps
  • Experience using Git, GitLab, or GitHub for version control, including branching, merge requests, and basic CI/CD concepts. Supported internally via Azure‑hosted GitLab environments.

Data Engineering & Analytics
  • Basic understanding of ETL pipelines and data lineage.
  • Familiarity with SQL optimization concepts or NoSQL systems.
  • Experience working with JSON, XML, or APIs.

Clearance
·        Ability to obtain/maintain a U.S. government security clearance.
·        U.S. Citizenship is required.
Key Skills
PythonSQLData pipelinesETLELTPower BITableauData modelingGitData visualizationData cleansingData transformationEnterprise architectureVersion controlNoSQLAPI
Categories
Data & AnalyticsTechnologySoftwareEngineeringGovernment & Public Sector