Data Engineer for AI-Powered Healthcare FinOps

Joyfulhealth

New York (NY)

On-site

USD 150,000 - 275,000

Full time

14 days+
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Benefits offered by this job

Healthcare benefits
Unlimited PTO
Professional development stipend
Equity

Job summary

Joyful Health, NYC-based, is hiring a Data Engineer to help build the AI-powered financial operating system for healthcare practices. This full-time role is based in New York City and requires you to come into the office three days a week.

You will design and implement data pipelines, own data integrations, and help scale data systems for providers. As an early team member, you’ll shape our technical roadmap and culture with strong ownership.

Qualifications

  • 5+ years of experience in data engineering with building data pipelines and integrations.
  • Experience with healthcare data or interoperability challenges is a plus.
  • Proficiency in Python and database systems, with performance optimization for scale.
  • Experience in distributed systems coordination and AI pipelines.
  • Familiarity with big data technologies and handling massive datasets.
  • CI/CD workflows such as GitHub Actions.

Responsibilities

  • Design, build, and maintain data pipelines and integrations for healthcare data.
  • Collaborate with stakeholders to solve interoperability challenges.
  • Own data engineering initiatives and contribute to the technical roadmap.
  • Scale data systems to support providers and clinicians.

Skills

Data engineering
Data pipelines
Healthcare data interoperability
Python
Distributed systems coordination
AI pipelines
Big data technologies
GitHub Actions
Leadership/ownership

Tools

Python
SQL databases
GitHub Actions
Big data platforms

Job description

Joyful Health, NYC-based, is hiring a Data Engineer to help build the AI-powered financial operating system for healthcare practices. This full-time role is based in New York City and requires you to come into the office three days a week.

You will design and implement data pipelines, own data integrations, and help scale data systems for providers. As an early team member, you’ll shape our technical roadmap and culture with strong ownership.

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