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Senior Data Engineer

SWORD Health

SWORD Health

Data Science
Posted on Wednesday, April 3, 2024
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.
  • Work and collaborate with internal stakeholders (analytics, marketing, clinical operations, growth) to develop strategies and data science products to solve real world problems.
  • Have the opportunity to work with some of the most exciting and newest technologies in the data field.

About you:

  • Very high level of SQL and data modeling expertise.
  • Strong experience with Python.
  • Experience with supporting data science and AI teams data needs.
  • Experience in cloud-based architectures, such as GCP and AWS.
  • Experience with orchestration frameworks, such as Apache Airflow.
  • Experience proposing technical or procedural improvements to new and existing data flows.

Bonus points if you have:

  • Exposure to healthcare data including claims.
  • Exposure to creating production ready ML models.
  • Knowledge of Data Governance.
  • Capable of zooming out and being able to propose changes to data architecture.

Why you should join our rocketship:

  • A stimulating, fast-paced environment with lots of room for creativity.
  • A bright future at a promising high-tech startup company valued at over $2bn.
  • Quarterly travel to HQ in Porto, Portugal (voted one of the best cities in Europe) and US.
  • Career development and growth with a competitive salary.
  • Chance to make healthcare work better for the people who need it most.
  • A flexible environment where you can control your hours (remotely) with unlimited vacation.
  • At Sword, we are proud to be an Equal Employment Opportunity employer. We champion diversity and are committed to building a team that represents a variety of backgrounds, perspectives and skills. At SWORD, we believe that diversity and inclusion among our applicants and teammates is critical to our success as a global company. The more inclusive we are, the better our work will be.
US Sword Benefits & Perks: *Eligibility: Full-time employees regularly working 25+ hours per week
Comprehensive health, dental and vision insurance*
Equity Shares*
Discretionary PTO Plan*
Parental leave*
Flexible working hours
Remote-first Company
Internet Stipend for remote working
Paid Company Holidays
Free Digital Therapist for you and your family
*Eligibility: Full-time employees regularly working 25+ hours per week
Portugal - Sword Benefits:
Health, dental and vision Insurance
Meal Allowance
Equity Shares
Portugal - Sword Perks:
Remote Work Allowance
Flexible working hours
Work from home
Unlimited Vacation
Snacks and Beverages
English Class
Unlimited access to Coursera Learning Platform
*US Applicants Only: Applicants must have a legal right to work in the United States, and immigration or work visa sponsorship will not be provided.*
SWORD Health, which includes SWORD Health, Inc. and Sword Health Professionals (consisting of Sword Health Care Providers, P.A., SWORD Health Care Providers of NJ, P.C., SWORD Health Care Physical Therapy Providers of CA, P.C.*) complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.