Data Engineering Intern
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Job Description
Data Engineering Intern at RefinedScience developing data infrastructure for advanced analytics. Collaborating with scientists and engineers on data pipelines and healthcare insights.
Responsibilities:
- Assist in building and maintaining data pipelines for ingesting, transforming, and validating clinical, biological, and real-world data
- Support integration of data from multiple sources (e.g., clinical data, analytics outputs, external datasets)
- Help develop and optimize ETL/ELT workflows to ensure data quality and reliability
- Collaborate with data science and bioinformatics teams to support analytics and machine learning workflows
- Contribute to data modeling, documentation, and best practices for data infrastructure
- Participate in code reviews, testing, and performance improvements
- Participate in Quality Reviews and Troubleshooting
- Communicate progress and findings to cross-functional teams
Requirements:
- Currently enrolled in a Bachelor’s, Master’s, or Ph.D. program in Data Engineering, Computer Science, Data Science, Software Engineering, or a related field
- Experience with Python and/or SQL through coursework, projects, or internships
- Basic understanding of data pipelines, databases, and data transformation concepts
- Familiarity with version control (e.g., Git)
- Strong analytical thinking and problem-solving skills
- Ability to learn quickly and work collaboratively in a team environment
Benefits:
- Flexible work arrangements
- Professional development
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