2 months ago
New York, NY, USAMid Level
Base Salary
$165k - $190k/yr
Responsibilities
- Build and maintain data pipeline components within larger workstreams with architecture guidance from senior engineers.
- Write production Python and SQL for extraction logic, transformations, and data quality checks.
- Contribute to core entity models and develop knowledge of the revenue cycle management domain.
- Debug data quality and pipeline issues through root-cause resolution.
- Own components end to end, including testing, production operation, and fixing failures.
- Participate in the on-call rotation with support from senior engineers.
- Use AI coding tools such as Claude Code in system design, development, and review.
Requirements
- At least 2 years of software or data engineering experience with production code that can be explained in detail.
- Solid Python and SQL fundamentals and an understanding of how data moves through systems.
- Exposure to at least one modern data stack area, such as a cloud warehouse, orchestration tool, or transformation framework.
- Strong debugging instincts and the ability to distinguish known facts from guesses.
- Ability to respond well to feedback and probing while continuing to develop technical depth.
- Interest in working with messy and regulated healthcare data.
- Preferred exposure to Snowflake, SQLMesh, dbt, Temporal, or AWS.
- Preferred experience with healthcare, claims, or other regulated data domains.
Benefits
- Competitive equity packages and an annual bonus program.
- Employer-paid medical, dental, and vision insurance.
- Employer-funded HSA.
- Parental leave, commuter benefits, generous PTO, and daily office lunches and snacks.
- Office-based location at 3 World Trade Center in New York City with access to trains and the PATH.
About Adonis
Adonis builds an AI-driven revenue cycle management platform for healthcare providers, using automation and AI agents to work claims across payer portals, APIs, and phone calls (including AI voice). It sells SaaS to provider groups and health systems to detect issues, optimize workflows, and move claims forward. Founded in 2022 and headquartered in New York City, the privately held company raised a Series C led by Quadrille Capital with participation from General Catalyst and Bling Capital.