Data Engineer - Intern/co-op

39med

Hybrid
Python programming language
Etl/elt pipeline development
Data modeling concepts
Support the development, deployment, and maintenance of data pipelines and infrastructure for data-driven decision-making in the clinical research department

Job Summary

  • Support the development, deployment, and maintenance of data pipelines and infrastructure for data-driven decision-making in the clinical research department.
  • Assist in building and maintaining robust, scalable ETL/ELT pipelines, integrating data from various sources, and ensuring data quality, consistency, and availability.
  • Act as an AI assistant to support the implementation and integration of AI solutions, train the team on AI capabilities, and map business requirements for AI and automation options.

Matching Summary

Support the development, deployment, and maintenance of data pipelines and infrastructure for data-driven decision-making in the clinical research department.

Skills & Requirements

Must-have

  • Python programming language
  • ETL/ELT pipeline development
  • Data modeling concepts
  • Cloud-based data solutions
  • Data quality and monitoring

Nice-to-have

  • AI solution implementation
  • Team training on AI
  • Business requirements mapping
  • Independent and collaborative work
  • Willingness to learn new technologies

Key Requirements

  • Student in Computer Science or related field
  • 0-2 years of data engineering experience
  • Familiarity with Python or similar
  • Understanding of data modeling
  • Experience with data tools

Work Rights

Not specified

Tailored Resume

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