Data Platform Engineer - Healthcare Data Pipelines

Adonis; New York (NY); On-site; USD 165,000 - 190,000; Full time

Benefits offered by this job

Competitive equity packages

Employer-paid medical insurance

Employer-paid dental insurance

Employer-paid vision insurance

Employer-funded HSA

Parental leave

Commuter benefits

Office lunches every day

Office snacks

Generous PTO

Located in 3 World Trade Center with…

Job summary

Adonis is building and operating components of its data platform, moving healthcare data from customer EHR systems into Snowflake and turning it into trusted core entities. You will own components end to end, run them in production, and fix issues when they arise.

This growth role exposes you to enterprise-scale healthcare data problems with a modern stack (Snowflake, SQLMesh, Temporal, Python, AWS, Datadog) and direct mentoring from senior engineers to accelerate your trajectory.

Qualifications

• 2+ years of software or data engineering experience with production code you can walk through in detail.
• Solid Python and SQL fundamentals and understanding of how data moves through a system.
• Exposure to at least one part of the modern data stack: cloud warehouse, orchestration tool, or transformation framework.
• Strong debugging instincts and honesty about knowledge vs guesses.

Responsibilities

• Build and maintain pipeline components within larger workstreams with guidance from senior engineers.
• Write production Python and SQL: extract logic, transformations, and data quality checks.
• Contribute to core entity models and learn the RCM domain.
• Debug data quality and pipeline issues through to root cause, not just symptoms.
• Run what you build; participate in on-call rotation with support from seniors.
• Develop AI-native approaches; leverage AI coding tools in design, build, and review.

Skills

Python

SQL

Data engineering

On-call/Production support

Debugging

Healthcare data interest

Tools

Snowflake

SQLMesh/dbt

Temporal

AWS

Job description

Adonis is building and operating components of its data platform, moving healthcare data from customer EHR systems into Snowflake and turning it into trusted core entities. You will own components end to end, run them in production, and fix issues when they arise.

This growth role exposes you to enterprise-scale healthcare data problems with a modern stack (Snowflake, SQLMesh, Temporal, Python, AWS, Datadog) and direct mentoring from senior engineers to accelerate your trajectory.