Data Engineer (Global)

Transforming the $200B dental industry by integrating and simplifying dental practice functions through technology.
Data
Mid-Level Software Engineer
Remote
4+ years of experience
Healthcare
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Description For Data Engineer (Global)

Dandy is revolutionizing the $200B dental industry through technology and innovation. As a venture-backed company, we're building the operating system for dental offices across America, empowering dentists with cutting-edge technology and world-class support.

As a Data Engineer at Dandy, you'll play a crucial role in shaping the future of our data engineering capabilities and contributing to a mature, high-performing data team. You'll work across multiple domains, from product analytics to supply chain optimization, ensuring our data systems are scalable, reliable, and production-ready.

The role involves designing and maintaining scalable data pipelines, building a robust data platform, and establishing engineering best practices. You'll collaborate with cross-functional teams, optimize workflows, and ensure data quality while maintaining comprehensive documentation.

We're looking for someone with 4+ years of experience in data engineering, strong technical expertise in Python and modern data tools, and a proven track record of building production-ready systems. The ideal candidate will be comfortable working in a high-growth environment, possess excellent problem-solving skills, and be located within 3 hours of New York's timezone.

Join us in transforming the dental industry while working with a supportive team that values continuous learning and innovation. We offer comprehensive benefits including healthcare, dental, mental health support, 401(k), and paid time off, all while fostering an inclusive and diverse workplace environment.

Last updated 3 months ago

Responsibilities For Data Engineer (Global)

  • Lead data infrastructure development and maintain scalable data pipelines
  • Build and enhance Dandy's data platform
  • Own the entire lifecycle of data pipelines
  • Drive adoption of best practices for data engineering
  • Collaborate with data analysts and product managers
  • Optimize and maintain data workflows
  • Create and maintain documentation for data architecture

Requirements For Data Engineer (Global)

Python
  • 4+ years of experience as a Data Engineer
  • Proficient in Python, Airflow/Dagster, DBT, and cloud platforms (AWS/GCP)
  • Experience in productionizing data workflows
  • Strong collaborative and problem-solving skills
  • Must be based in a timezone within 3 hours of New York
  • Experience with building production-ready data systems

Benefits For Data Engineer (Global)

Medical Insurance
Dental Insurance
401k
Mental Health Assistance
Parental Leave
  • Healthcare
  • Dental coverage
  • Parental planning
  • Mental health benefits
  • 401(k) plan
  • Paid time off

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