Hone is hiring Data Engineering Interns for its Fall 2026 Remote Internship Program. This internship offers students an opportunity to work with a modern cloud-based data engineering stack, including Microsoft Fabric, dbt, PySpark, SQL, Azure, and GitHub, while contributing to real-world healthcare analytics projects.
If you’re passionate about data engineering, cloud technologies, and building scalable ETL pipelines, this internship provides valuable hands-on industry experience in a fully remote environment.
About Hone
Hone is an online medical clinic focused on improving health, wellness, and longevity through technology-driven healthcare solutions. The company leverages modern data platforms and scientific advancements to help people take control of their health while delivering personalized healthcare experiences.
As a remote-first organization, Hone emphasizes collaboration, continuous learning, innovation, and customer-centric product development.
Internship Overview
| Details | Information |
|---|---|
| Company | Hone |
| Role | Data Engineering Intern (Fall 2026) |
| Job Type | Internship |
| Work Mode | Remote |
| Internship Term | Fall 2026 |
| Qualification | Bachelor’s or Master’s Students |
| Department | Data Engineering |
Key Responsibilities
- Design, build, and maintain scalable ETL pipelines using Microsoft Fabric.
- Develop and manage analytics-ready datasets for reporting and product use cases.
- Integrate data from multiple internal and external data sources.
- Build and maintain data models using dbt.
- Support Bronze, Silver, and Gold layer modeling within the Fabric Lakehouse architecture.
- Collaborate with engineers, analysts, and product teams to develop technical data solutions.
- Perform data quality validation, testing, and performance optimization.
- Monitor and troubleshoot cloud-based data infrastructure.
- Follow GitHub-based version control and CI/CD best practices.
- Create documentation and contribute to data governance initiatives.
- Help improve internal data engineering processes and tools.
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Required Skills
| Skill Category | Required Skills |
|---|---|
| Programming | Python |
| Database | SQL, Relational Databases |
| Data Engineering | ETL Pipelines, Data Modeling |
| Cloud Technologies | Microsoft Fabric, Azure (Preferred) |
| Big Data | PySpark (Preferred) |
| Analytics Engineering | dbt, Medallion Architecture (Preferred) |
| Version Control | GitHub |
| Collaboration Tools | Azure DevOps (ADO), Slack |
| Soft Skills | Problem Solving, Analytical Thinking, Communication |
Preferred Skills
| Preferred Skill | Advantage |
|---|---|
| Microsoft Fabric | Data Pipelines, Dataflows, Notebooks |
| Azure Data Factory | Cloud Pipeline Development |
| PySpark | Distributed Data Processing |
| dbt | Data Transformations |
| CI/CD | GitHub Workflows |
| Cloud Data Platforms | Azure Ecosystem |
Eligibility Criteria
| Criteria | Details |
|---|---|
| Education | Currently pursuing Bachelor’s or Master’s degree |
| Eligible Streams | Computer Science, Data Engineering, Data Science, Information Systems, or related fields |
| Programming | Python |
| Database Skills | SQL |
| Work Mode | Remote |
| Equipment | Stable Internet Connection & PC/Laptop |
Who Can Apply?
Candidates can apply if they:
- Are currently pursuing a Bachelor’s or Master’s degree.
- Have strong SQL fundamentals.
- Are proficient in Python.
- Understand data engineering, ETL, or analytics concepts.
- Have exposure to cloud platforms or modern data engineering tools.
- Are comfortable working remotely in cross-functional teams.
- Are eager to learn new technologies and improve continuously.
Compensation
Hone has officially disclosed the internship compensation.
💰 Official Compensation
| Compensation Type | Amount |
|---|---|
| Hourly Pay | Up to $25/hour |
| Working Hours | Approximately 30–40 hours per week |
Actual compensation may vary depending on experience, qualifications, and internship terms.
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Benefits
- Fully remote work environment.
- Competitive compensation.
- Equity opportunities (where applicable).
- Health, dental, and vision insurance.
- Short-term disability and life insurance.
- Flexible Spending Accounts (FSA).
- Lifestyle Spending Accounts (LSA).
- Federal holidays and flexible time off for eligible employees.
- Technology budget for laptop, monitor, or software.
- Virtual and in-person team engagement activities.
- Waived membership fees for Hone products.
Why Join Hone?
Hone offers interns an opportunity to work on production-grade cloud data platforms while gaining practical experience with modern data engineering technologies. You’ll collaborate with experienced engineers, analysts, and machine learning teams while building scalable healthcare data solutions using Microsoft’s latest cloud ecosystem.
How to Apply?
Interested candidates can apply now. Before applying, ensure your resume highlights your SQL, Python, ETL projects, cloud technologies, GitHub portfolio, and any coursework or projects related to data engineering, analytics, or machine learning.
Why Trust This Information?
This internship article is based on the official Hone internship description. The responsibilities, qualifications, required skills, benefits, and compensation have been summarized from the company’s published hiring information to help students understand the opportunity more easily.
Disclaimer: This website is not affiliated with Hone. Internship details are based on publicly available information and may change over time. Candidates should verify the latest information on the official Hone Careers website before applying.
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