ECS
Fairfax, Virginia

Junior Data Engineer - Intern

OnsitePosted todayLinkedIn

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About this role

ECS is seeking a Junior Data Engineering Intern to work in our Fairfax, VA office for the summer of 2026.

 

This internship offers a unique opportunity to move beyond the classroom and gain firsthand experience with production-grade workflows and real-world datasets. You will work alongside senior engineers and scientists to acquire hands-on experience in data infrastructure and engineering practices in support of a DoW Artificial Intelligence initiative. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain.

 

Job Description:

 

ECS seeks an individual who is passionate about data, eager to learn, and excited to develop foundational skills in data engineering while contributing to meaningful projects. In this position, you will develop and maintain data pipelines and perform data analysis on GEOINT datasets, gaining experience with end‑to‑end data engineering processes.

 

Key Responsibilities:

  • Extract, transform and standardize data to prepare for ingest into Machine Learning (ML) development environments
  • Assist with the design and development of data services
  • Document data processes and workflows
  • Complete data analyses, catering results to leadership in a holistic and easy-to-understand way
  • Help ensure data quality and accuracy to support reliable analytics and insights
  • Perform multiple tasks simultaneously and successfully under changing priorities and deadlines
  • Participate in team meetings and contribute to project discussions
  • Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork

Benefits:

  • Real-world experience in data engineering practices
  • Exposure to real datasets and enterprise level tools
  • Mentorship from experienced data professionals
  • Contribution to impactful AI initiatives
  • Professional development opportunities