5+ years of experience in data engineering focused on building data pipelines and integrations.
Experience with healthcare data or interoperability challenges is a plus.
Proficient in Python and database systems, with a focus on performance and optimization.
Knowledge of distributed systems coordination and AI pipelines.
Familiarity with big data technologies and handling massive datasets.
Experience with CI/CD workflows such as GitHub actions.
Responsibilities
Develop and maintain data pipelines and integrations for healthcare providers.
Collaborate with engineering team to influence technical roadmap and company culture.
Ensure high performance and scalability of systems handling healthcare data.
Solve interoperability challenges faced by healthcare practices.
Design user-centric data solutions that enhance financial operations.
Benefits
Direct impact on improving financial operations in healthcare.
Significant autonomy and ownership in shaping the company's future.
Opportunities for growth, learning, and professional development.
Competitive compensation packages and equity options.
Comprehensive healthcare benefits and unlimited PTO.
Flexible work environment and team-building events.
Full Job Description
This role is full-time. We're looking for someone NYC-based who is open to coming into the office 3 days a week.
The base pay range for this role is $150,000-$275,000 per year.
We'd love to hear from you if...
You're passionate about Joyful Health's mission - you want to solve real, pressing problems for providers and put them in control of their businesses. You naturally empathize with users and enjoy designing solutions with their needs in mind.
You're excited to shape the future of our engineering team and are excited to lead by example - as an early team member, you'll have the chance to influence everything from our technical roadmap to our company culture. You have a radical sense of ownership with the ability and desire to own technical roadmaps and refine ambiguous problems. You also have a low ego, growth mindset, and desire to see the product and team scale with your impact.
You have a love for your craft and strong technical execution - you view coding as a craft, not just a task, and you're excited about using technology to create meaningful impact. Your technical skills go beyond coding-you care about building a product that works at scale, with the user at the forefront. We care more about your drive, hustle, and passion than a college degree from a shiny institution or experience at name-brand companies.
You have 5+ years of experience in data engineering, with a focus on building data pipelines and integrations.
Experience working with healthcare data or solving interoperability challenges is a plus.
Proficiency in:
Python and database systems, with familiarity in performance and optimization for scale
Experience in distributed systems coordination and AI pipelines
Familiarity with big data technologies and comfortable working with massive datasets
