Talantix.io
RefinedScience•03.03.26
AI SCORE 8.2

Data Engineering Intern - Remote Position

$40K–$60K/year
RemoteHealthTech
Python•SQL•Data Pipelines•ETL•Data Transformation•Git

About the Role

We are looking for a motivated Data Engineering Intern to join our team remotely. This internship is an excellent opportunity for undergraduate and graduate students interested in building data infrastructure that supports advanced analytics, data science, and AI-driven insights in healthcare and life sciences.

What You'll Do

  • 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, including clinical data, analytics outputs, and 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.
  • Engage 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 systems like Git.
  • Strong analytical thinking and problem-solving skills.
  • Ability to learn quickly and work collaboratively in a team environment.

Nice to Have

  • Experience with cloud platforms (e.g., AWS, Azure).
  • Knowledge of data visualization tools.
  • Familiarity with machine learning concepts.

What We Offer

  • Competitive salary range of $40,000 to $60,000 per year.
  • Remote work flexibility.
  • Opportunity to work with leading experts in healthcare and life sciences.
  • Hands-on experience in data engineering and analytics.
  • Professional development and mentorship opportunities.
  • Access to cutting-edge technologies and tools.
Why This Job8.2 of 10

This remote Data Engineering Intern position at RefinedScience offers a unique opportunity to gain hands-on experience in healthcare analytics and data infrastructure. Ideal for students looking to enhance their skills while working with industry experts.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python for data manipulation and automation, with experience in libraries such as Pandas and NumPy for data transformation.

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Strong understanding of SQL for querying databases, coupled with experience in using Git for version control in collaborative projects, essential for remote teamwork.

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Analytical mindset with a focus on building efficient ETL processes, demonstrating problem-solving skills in data pipeline development, particularly in the healthcare and life sciences domain.

Learning Resources

→Python for Data Science Handbookguide
→Data Engineering on Google Cloud Platform Specializationcourse
→How to Build a Data Pipeline with Pythonarticle

Career Path

Data Engineering Intern(Now)→Junior Data Engineer(1-2 years)→Data Engineer(3-5 years)

Market Overview

Market Size 2024
$30B
Annual Growth
11.2%
AI Adoption
45%
Investment
+150%
Labour Demand
+25%
Avg Salary
$85K

Skills & Requirements

Required
PythonSQLData Pipelines
Growing in Demand
Machine LearningData Visualization (e.g., Tableau)Cloud Data Services (e.g., AWS, Azure)
Declining
MapReduceHadoop

Domain Trends

Increased Demand for Real-Time Data Processing
The shift towards real-time analytics is driving the need for data engineers skilled in streaming technologies, with a reported 30% increase in job postings for real-time data processing roles.
Rise of No-Code/Low-Code Data Solutions
Organizations are increasingly adopting no-code/low-code platforms for data integration, leading to a 40% growth in tools that complement traditional data engineering roles.
Focus on Data Privacy and Security
With stricter regulations like GDPR, companies are prioritizing data governance, resulting in a 25% increase in roles emphasizing data security in data engineering.

Industry News

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