Job Description

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. Our people are the heart of everything we do and drive our success. We approach every project through our brand values: Champion Patient Needs Execute Relentlessly Communicate Constructively Collaborate Generously Turn Obstacles Into Opportunity Give With Gratitude Hone has been fully virtual from day one and will continue to be a remote-first employer. Our Ideal Candidate Our ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an “all-in” disposition towards work, understanding that we are a fast-paced, high-growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives. 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 Key responsibilities for this role include (but are not limited to): Design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and product use cases. Integrate data from multiple internal and external sources, ensuring quality, consistency, and reliability. Develop and maintain data models, schemas, and warehouses to support BI, ML, and operational needs. Collaborate with engineers, analysts, and product teams to translate business requirements into technical data solutions. Participate in data quality checks, testing, validation, and performance optimization. Monitor, optimize, and troubleshoot data infrastructure for performance and scalability. 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 To qualify for this internship, candidates should meet the following requirements: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field. Strong foundational knowledge of SQL and experience querying relational databases. Proficiency in Python and a strong interest in distributed data processing (PySpark experience is a plus). Understanding of data modeling, data warehousing, or analytics engineering concepts. Exposure to or coursework involving data pipeline orchestration or ETL development. Strong analytical thinking, problem-solving abilities, and attention to detail. Eagerness to learn new technologies and frameworks, with a focus on self-improvement. Effective communication skills and the ability to work collaboratively in a remote cross-functional environment. A stable internet connection and access to a PC/laptop. Compensation Range Up to $25/hr. (averaging approximately 30-40 hours per week). Benefits* Hone wants our team to be in the best condition of their lives, so we offer a range of benefits including: 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) Lifestyle Spending Accounts (LSAs) We follow federal holidays and have uncapped time off Budget for the technology tools you need (laptop, monitor, and/or special software) A focus on company-sponsored activities to foster engagement (both virtual and in-person) Waived membership fees for any Hone team members utilizing Hone products These benefits are available to full-time, regular employees, and not to independent contractors, hourly or temporary employees, or interns. We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation. Benefits found in job post Vision insurance