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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 Forbes Best Startup Employer in 2025, 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 $4 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 1000+ (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.
A Senior Data Engineer on the Predict team will lead all data initiatives while collaborating closely with both the broader Predict team and the wider data engineering organization.
At Sword Predict, we’re building a platform that does more than just forecast healthcare trends - we intervene where it matters most. Our mission is to identify individuals at high risk of escalating musculoskeletal (MSK) costs and guide them toward conservative, AI-powered care pathways. By preventing unnecessary surgeries and costly interventions, we reduce healthcare waste and improve lives. It's high-impact work with real human outcomes and we’re just getting started. If you’re driven by purpose, inspired by innovation, and excited to shape the future of proactive care, we’d love to have you on the team.
What you’ll be doing:
- Will be helping Predict (one of Sword’s most important solutions) design, build, and maintain ETL/ELT data pipelines to efficiently ingest and process data from multiple sources.
- Help us understand and create data products to be used by our external clients.
- Lead thought around data architecture, data ingestion to make sure we are building robust processes and systems.
- Collaborate with engineering/product/analyst teams.
What you need to have:
- Experience in data engineering, with a deep understanding of data pipelines, cloud infrastructure, and big data technologies.
- Expertise in supporting AI/ML models - familiarity with LLMs and their integration into healthcare applications is a huge plus!
- A passion for creating data-driven solutions that enhance the healthcare experience and deliver real-world impact.
- A collaborative mindset, able to work across interdisciplinary teams including AI researchers, data scientists, and healthcare professionals.
- Experience with cloud platforms (AWS, GCP, Azure) and scalable data frameworks (Spark, Kafka, etc.).
- Experience in designing and implementing scalable, efficient data pipelines, with a focus on SQL and modern data modeling techniques.
- Experience in developing data engineering solutions using Python, and PySpark, with particular experience in applying tools to AI and ML tasks.
What we would love to see:
- Proven track record of creating data platforms for production-ready ML models, including model deployment, monitoring, and retraining.
- Understanding of data ingestion systems and tradeoffs to make when ingesting Petabytes of data vs MBs of data.
US - Sword Benefits & Perks:
• Comprehensive health, dental and vision insurance*
• Life and AD&D Insurance*
• Financial advisory services*
• Supplemental Insurance Benefits (Accident, Hospital and Critical Illness)*
• Health Savings Account*
• Equity shares*
• Discretionary PTO plan*
• Parental leave*
• 401(k)
• Flexible working hours
• Remote-first company
• Paid company holidays
• Free digital therapist for you and your family
*Eligibility: Full-time employees regularly working 25+ hours per week
Note: 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.
SWORD Health New York, New York, USA Office
New York, NY, United States
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
