Senior Data Engineer
Job Summary
Job Description
As a Senior Data Engineer on the Predict team at Sword Health, you will be leading data initiatives while collaborating closely with the Predict team and the broader data engineering organization. Your responsibilities will include designing, building, and maintaining ETL/ELT data pipelines to efficiently ingest and process data, helping create data products for external clients, and leading data architecture to build robust processes and systems. You will work alongside over 900 colleagues to help build a pain-free world, powered by AI, enhanced by people, accessible to all.
Must have:
- Experience in data engineering with deep understanding of data pipelines, cloud infrastructure, and big data technologies.
- Expertise in supporting AI/ML models and familiarity with LLMs in healthcare applications.
- 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.
- 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.
Good to have:
- 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.
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
7 skills required
Job Details
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 $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.
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.
$138,830 - $218,161 a year
Base: $119,000 - $187,000
Variable: $9,450 - $14,850
Net equity value per year: $10,380 - 16,311
These compensation bands are just the starting point. Once someone joins and proves they’re outlier talent, we adjust quickly to ensure their compensation aligns with their impact.
Our job titles may span more than one career level. Actual pay is determined by skills, qualifications, experience, location, market demand, and other factors. Compensation details listed in this posting reflect the base salary and any potential variable, bonus or sales incentives, and the Company’s estimation of the value of private company stock options, if applicable. The pay range is subject to change, future value of company stock options is not guaranteed, and compensation may be modified in the future. In addition to our total compensation, Sword offers a number of benefits as listed below.
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.
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