Data Platform Engineer

You will build and operate components of our data platform: the pipelines that move healthcare data from customer EHR systems into Snowflake, and the models that turn that raw data into trusted core entities. You will work within workstreams scoped and architected with senior engineers on the team, and own your components end to end - building them, testing them, running them in production, and fixing them when they break.

This is a growth role. You will get direct exposure to enterprise-scale healthcare data problems, a modern stack (Snowflake, SQLMesh, Temporal, Python, AWS, Datadog), and senior engineers invested in ramping you. The expectation is a steep trajectory: components today, workstreams as you grow.

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  Build and maintain pipeline components within larger workstreams, with architecture guidance from senior engineers.

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  Write production Python and SQL: extract logic, transformations, and data quality checks.

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  Contribute to our core entity models and learn the RCM domain that drives them.

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  Debug data quality and pipeline issues through to root cause, not just symptom.

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  Run what you build. You join the on-call rotation with support from senior engineers.

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  Develop AI-natively. AI coding tools (Claude Code and similar) are part of how this team designs, builds, and reviews.

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  2+ years of software or data engineering experience with production code you can walk through in detail.

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  Solid Python and SQL fundamentals. You may not have deep warehouse experience yet, but you understand how data moves through a system.

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  Exposure to at least one part of the modern data stack: a cloud warehouse, an orchestration tool, or a transformation framework.

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  Strong debugging instincts and honesty about what you know versus what you are guessing.

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  You respond well to feedback and probing - depth may still be developing, but the fundamentals and the trajectory are visible.

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  Interest in healthcare data. You do not need domain experience, but you need the appetite for a messy, regulated domain.

• Snowflake, SQLMesh/dbt, Temporal, or AWS exposure.

• Any prior contact with healthcare, claims, or other regulated data domains.

The base salary range for this position is $165,000 to $190,000. Base pay offered may vary depending on job-related knowledge, skills, and experience. In addition to base salary, we offer an annual bonus program, company equity, and a competitive benefits package.

Adonis is the leading AI orchestration platform for healthcare revenue cycle management (RCM), purpose-built for healthcare organizations seeking to transform their revenue operations. Traditional RCM processes often struggle with inefficiencies, costing providers up to 15% or more of their potential revenue. Through advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes.

Adonis is headquartered in New York City and has raised over $95M in funding, including a recent $40M Series C round led by Quadrille Capital with continued support from existing investors such as General Catalyst and Bling Capital. This funding supports our mission to restore sanity to RCM and equip provider groups and health systems with AI-driven revenue cycle operations at scale.