Data Engineering & Analytics Intern San Francisco, Ca

Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, we take this responsibility seriously and are committed to building diverse teams with an inclusive culture that can directly impact the healthcare system. One of Doximity's core values is stretching ourselves. Even if you don’t check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it! This role is Hybrid, which requires being in our San Francisco office 3 days a week - Monday, Tuesday and Thursday. About You Currently pursuing a degree in Data Science, Computer Science, Data Engineering, or a related field . Completed coursework in ML/AI concepts and are eager to apply what you’ve learned to help build, evaluate, and improve AI‑driven products. Working knowledge of SQL , including writing queries that join multiple tables and perform aggregations. Experience using Python for end‑to‑end data analysis , applying statistical thinking, performing aggregations with tools such as Pandas and NumPy, and translating results into clear visualizations and narratives. Basic understanding of programming fundamentals , including functions, data structures, and introductory object‑oriented concepts in Python. Interest in learning how to build maintainable and reliable data workflows , with guidance from senior team members. Curiosity about how data products are built end‑to‑end , from problem definition to delivering analysis or code. Demonstrated ability to learn quickly, ask thoughtful questions, and incorporate feedback . Here’s How You’ll Make an Impact Contribute to the measurement, analysis, and evolution of AI‑powered products at Doximity. Collaborate with data analysts, data engineers, and developers to design, implement, and evaluate LLM‑based approaches that inform future product iterations. Work with real production datasets to support data analysis, pipelines, and dashboards used across the business. Learn and apply best practices for writing clean, maintainable, and well‑tested data code . Gain hands‑on exposure to modern data tooling, distributed data processing, and ML/AI workflows . Participate in projects end‑to‑end — from problem definition through delivery — with mentorship and support from the team. Other Perks Catered lunches Monday, Tuesday, and Thursday. Hands‑on, ongoing mentorship throughout the internship. Free snacks and beverages in the office. Rooftop game room with deck and beautiful views of the SF skyline. Timeline All applications should be submitted by April 30th, 2026. Applicants will be reviewed and interviewed on a rolling basis. Start date is flexible pending candidate availability, but no later than June 1st, 2026. We have over 500 private repositories in GitHub containing our pipelines, our own internal multi‑functional tools, and open‑source projects. Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. #J-18808-Ljbffr