.Sword Health is on a mission to free two billion people from pain as the world's first and only end-to-end platform to predict, prevent and treat pain. Delivering a 62% reduction in pain and a 60% reduction in surgery intent, at Sword, we are using technology to save millions for our 2,500+ enterprise clients across three continents. Today, we hold the majority of industry patents, win 70% of competitive evaluations, and have raised more than $300 million from top venture firms like Founders Fund, General Catalyst, and Khosla Ventures. Recognized as a Forbes Best Startup Employer in 2023, this award highlights our focus on being a destination for the best and brightest talent. Not only have we experienced unprecedented growth since our market debut in 2020, but we've also created a remarkable mission and value-driven environment that is loved by our growing team. With a recent valuation of $2 billion, we are in a phase of hyper growth and expansion, and we're looking for individuals with passion, commitment, and energy to help us scale our impact. Joining Sword Health means committing to a set of core values, chief amongst them to "do it for the patients" every day, and to always "deliver more than expected" on behalf of our members and clients. This is an opportunity for you to make a significant difference on a massive scale as you work alongside 800+ (and growing!) talented colleagues, spanning two continents. Your charge? To help us build a pain-free world, powered by technology, enhanced by people — accessible to all. Sword Health is looking for a Senior Data Engineer to enable AI/ML projects to power the Sword health platform from end-to-end. You will build the data infrastructure to prepare machine learning and data science to understand member behavior across a multitude of health and pain conditions. You will be part of an exciting team at Sword that is helping our business grow to the next level through novel applications of AI. You will have a tremendous impact on millions of lives. Read on if you think you've got the right stuff. What you'll do: Design, build and maintain ETL/ELT data pipelines that ingest data from multiple sources with different technologies (Cloud Storage, BigQuery, FHIR, JSON, etc.). Work closely on data science projects to design, prototype and test novel clinical and digital interventions and models, leveraging machine learning and deep learning to understand members and their musculoskeletal health and pain needs. Represent the needs of the AI team in architecting data solutions that maintain a person-level identity across multiple data types and sources. Leverage advanced programming and large datasets towards those ends, including structure and unstructured clinical notes, focused on developing domain expertise in digital health and musculoskeletal care