Senior Data Engineer

Sword Health is on a mission to free two billion people from pain. With 67% of members achieving a pain-free life and a 70% reduction in surgery intent, at Sword, we are using AI Care to change lives, and save millions for our 25,000+ 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, Sapphire Ventures, General Catalyst, and Khosla Ventures.Recognized as a , 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 $3 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 global impact. Joining Sword 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 900+ (and growing!) talented colleagues, spanning three continents. Your charge? To help us build a pain-free world, powered by AI, enhanced by people — accessible to all.

What you'll be doing :

• Design, build and maintain ETL / ELT data pipeline that ingests data from multiple sources with different technologies (MySQL, BigQuery, Cloud Storage, CSV, FHIR, JSON, etc.);
• Architect and maintain Sword’s (complex) data warehouse; We own lots of different types of data;
• Work with complex data architectures, like Kappa and lambda architectures. You’ll have the opportunity to work with batch and / or streaming processes;
• Have the opportunity to work with some of the most exciting and newest technologies in the data field;
• Work closely with our Algorithms and AI teams, supporting their needs for data and pipelines.

What you need to have :

What we would love to see :

To ensure you feel good solving a big Human problem, we offer :