Data Engineer Lead

Aios Medical is seeking a Data Engineer Lead to spearhead their data infrastructure initiatives. This role combines technical leadership with strategic impact, focusing on building reliable data pipelines and making data accessible across the organization. The company is on a mission to revolutionize healthcare through their AI-powered clinical operating system, ClinicOS, which facilitates direct-to-patient healthcare globally.

The position offers a unique opportunity to shape the data foundation of a rapidly growing healthcare technology company. With impressive growth metrics (>2000x since Aug 2021) and backing from prestigious investors including Y Combinator and Global Founders Capital, Aios Medical is positioned for significant impact in the healthcare sector.

As Data Engineer Lead, you'll be responsible for rebuilding and maintaining data pipelines, syncing multiple data sources into Redshift, and establishing the groundwork for a future centralized data team. The role requires both technical expertise in data engineering and strategic thinking to support business metrics across pre and post-conversion journeys.

The ideal candidate brings 5+ years of data experience, with at least 2 years focused on data engineering. Strong SQL skills, experience with cloud warehouses like Redshift, and the ability to work autonomously are essential. You'll work remotely, collaborating with a distributed team while reporting to the Head of Engineering.

The company offers competitive compensation ($60-90k/year including equity), comprehensive benefits, and a strong focus on personal development. Their culture emphasizes mission-driven work, integrity, and a relentless focus on excellence. This is an opportunity to join a company that's not just building technology, but working to transform healthcare delivery on a global scale.