Data Engineer Intern

Emmes GroupRockville, MD
Remote

About The Position

Veridix AI is the technology, data, and AI arm of the Emmes Group, a leading full-service contract research organization (CRO) with over 47 years of experience in supporting clinical research across more than 70 countries. With industry-leading capabilities in cell and gene therapy, vaccines, infectious diseases, and ophthalmology, Emmes is one of the top clinical service providers to the U.S. government and is rapidly expanding its presence in biopharma. Veridix AI develops advanced eClinical solutions, powering clinical trials through patient data collection, randomization, biospecimen tracking, and data quality monitoring. Our cutting-edge AI innovations, including Generative AI (GenAI) capabilities, are transforming clinical trial timelines by streamlining processes from document authoring to automating study builds. Our “Character Achieves Results” culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity. If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee — from entry level through top executive — to contribute to our clients’ success by sharing ideas openly and honestly.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Mathematics, or a related field.
  • No prior professional experience required

Nice To Haves

  • Academic projects, coursework, internships, or personal projects involving data engineering, databases, or analytics are preferred.

Responsibilities

  • Assist in building, testing, and maintaining data pipelines and ETL/ELT processes.
  • Support data integration from multiple sources into databases or data warehouses.
  • Perform data validation, cleansing, and basic data quality checks.
  • Help document data processes, workflows, and technical specifications.
  • Collaborate with data engineers, analysts, and other stakeholders to understand data requirements.
  • Troubleshoot basic data issues and support ongoing data operations.
  • Follow data governance, security, and compliance standards.
  • Performs other duties as assigned
  • Complies with all policies and standards
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