Data Engineering Intern

Remote World

Canada
Training
Full-time

20 hours ago

Data Engineering InternAt RefinedScience, our mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease.WHAT WE ARE LOOKING FORWe are seeking a motivated Data Engineering Intern to join our team. This internship is open to undergraduate and graduate students who are interested in building data infrastructure that supports advanced analytics, data science, and AI-driven insights in healthcare and life sciences.You will work closely with data scientists, bioinformaticians, and engineers to help design, build, and improve data pipelines and platforms that power RefinedScience's research and analytics initiatives.KEY ACTIVITIES

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

MUST HAVES

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 envir Please mention the word **LOGICAL** and tag RMTAyLjY2LjEzMi4xMjY= when applying to show you read the job post completely (#RMTAyLjY2LjEzMi4xMjY=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Remote World was founded in 2023 with a simple belief: the future of work is remote, and everyone should have access to quality remote opportunities regardless of their location.We noticed that while remote work is growing rapidly, many talented individuals around the world struggled to find legitimate, well-paying remote positions. At the same time, employers were struggling to find qualified remote talent from a global pool.Remote World was created to solve this problem by building a comprehensive platform that not only connects job seekers with employers, but also empowers workers to develop the skills they need to succeed in remote environments.Today, we're proud to have connected over 500 talented professionals with remote opportunities worldwide, and we're just getting started.

Remote World

Apply Now