Data Engineering Intern (Fall 2026)

About Hone

Hone is an online medical clinic dedicated to advancing healthcare and improving longevity through innovative scientific methods. Our core values—Fight for the Customer, Execute Ruthlessly, Communicate Candidly, Clearly, and Kindly, Collaborate Selflessly, Practice Calculated Risk-Taking, Maximize Joy and Gratitude—are central to our operations. As a fully virtual, remote-first employer, Hone fosters a dynamic and inclusive environment where our people are key to our success.

The Role

Hone is seeking a Data Engineering Intern to join our expanding data team. Reporting to the Senior Director of Data, Analytics & Machine Learning, you will collaborate with engineers, analysts, and product teams to develop and maintain scalable data pipelines and analytics-ready datasets. This role offers hands-on experience with modern tools like Microsoft Fabric, dbt, PySpark, and SQL.

Primary Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes using Microsoft Fabric (Notebooks, Pipelines, Dataflows).
• Integrate data from various internal and external sources, ensuring accuracy, consistency, and reliability.
• Develop and maintain data models and transformations using dbt, contributing to the creation of bronze, silver, and gold layers in the Fabric lakehouse.
• Collaborate with engineers, analysts, and product teams to translate business needs into technical solutions, using Slack for communication and Azure DevOps (ADO) for project management.
• Conduct data quality checks, tests, validations, and optimizations across pipeline and model layers.
• Maintain and optimize data infrastructure for performance and scalability in a cloud-native Azure environment.
• Adhere to best practices in version control and CI/CD using GitHub, including branch management, pull requests, and code reviews.
• Document data engineering processes and contribute to improving data governance, reliability, and scalability.
• Continuously refine data engineering methodologies and tools.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.
• Strong foundation in SQL and experience with relational databases.
• Proficiency in Python and a keen interest in distributed data processing (PySpark experience is a plus).
• Understanding of data modeling, data warehousing, or analytics engineering concepts, with familiarity in dbt or medallion architecture.
• Experience with data pipeline orchestration or ETL development, particularly with Microsoft Fabric, Azure Data Factory, or similar cloud pipeline tools.
• Comfortable working in a modern engineering workflow, including GitHub for version control, ADO for ticketing, and Slack for asynchronous communication.
• Exceptional analytical skills, problem-solving abilities, and attention to detail.
• A passion for learning new technologies and frameworks, with a commitment to personal growth.
• Effective communication skills and the ability to collaborate in a remote, cross-functional environment.
• A stable internet connection and access to a PC/laptop.

Compensation and Benefits

Up to $25/hr., averaging approximately 30-40 hours per week. Benefits include:

• A remote-first work environment.
• Competitive compensation and equity options.
• Health, dental, and vision insurance coverage.
• Short-term disability and basic life coverage.
• Flexible Spending Accounts (FSAs) and Lifestyle Spending Accounts (LSAs).
• Budget for necessary technology tools (laptop, monitor, and/or special software).
• Company-sponsored activities fostering engagement (virtual and in-person).
• Waived membership fees for Hone team members utilizing Hone products.

We are committed to creating an inclusive workplace where all employees are valued and supported. If you require reasonable accommodations during the application or interview process, please contact us.