Data Engineering Intern (Fall 2026)

About Hone

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential.

Hone has been fully virtual from day one and will continue to be a remote-first employer.

The Role

Hone is seeking a Data Engineering Intern to join our growing data team. In this role, you will report to the Senior Director of Data, Analytics & Machine Learning and work closely with engineers, analysts, and product teams to support the design, development, and maintenance of data systems and pipelines. You will work closely with stakeholders across the organization to ensure data is accurate, reliable, and accessible.

This internship is a hands-on opportunity to work with a modern data stack, including Microsoft Fabric, dbt, PySpark, and SQL, while gaining experience in building scalable data pipelines and analytics-ready datasets.

Primary Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes using Microsoft Fabric (Notebooks, Pipelines, Dataflows) to support analytics, reporting, and product use cases.
• Integrate data from multiple internal and external sources, ensuring quality, consistency, and reliability across the medallion architecture.
• Develop and maintain data models and transformations using dbt, contributing to bronze, silver, and gold layer modeling in the Fabric lakehouse.
• Collaborate with engineers, analysts, and product teams to translate business requirements into technical data solutions — communicating through Slack and tracking work in Azure DevOps (ADO).
• Participate in data quality checks, testing, validation, and performance optimization across pipeline and model layers.
• Monitor, optimize, and troubleshoot data infrastructure for performance and scalability in a cloud-native Azure environment.
• Follow engineering best practices around version control and CI/CD using GitHub, including branch management, pull requests, and code review.
• Contribute to data documentation and ensure best practices around data governance, reliability, and scalability.
• Contribute to the continuous improvement of data engineering processes 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