Build and maintain reliable, secure data pipelines and platform systems, shaping data for analytics, data science, and operational use while collaborating across engineering, product, and business teams.
Data Platform Engineer
๐ Description
- Build and maintain data pipeline components within larger workstreams, guided by senior engineers.
- Write production Python and SQL for extraction, 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 to root cause.
- Own components end to end, including testing, production operation, and on-call support.
- Use AI coding tools such as Claude Code to design, build, and review work.
๐ ๏ธ Requirements
- 2+ years of software or data engineering experience, with production code you can explain in detail.
- Solid Python and SQL fundamentals and an understanding of how data moves through a system.
- Exposure to at least one modern data stack component, such as a cloud warehouse, orchestration tool, or transformation framework.
- Strong debugging instincts and clear communication about what you know and what you are unsure of.
- Receptiveness to feedback and interest in developing technical depth.
- Interest in healthcare data and willingness to work in a complex, regulated domain.
โจ Benefits
- 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
Full job description
The Role
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.
What You Will Do
Build and maintain pipeline components within larger workstreams, with architecture guidance from senior engineers.
Write production Python and SQL: extract logic, transformations, and data quality checks.
Contribute to our core entity models and learn the RCM domain that drives them.
Debug data quality and pipeline issues through to root cause, not just symptom.
Run what you build. You join the on-call rotation with support from senior engineers.
Develop AI-natively. AI coding tools (Claude Code and similar) are part of how this team designs, builds, and reviews.
What You Will Bring
2+ years of software or data engineering experience with production code you can walk through in detail.
Solid Python and SQL fundamentals. You may not have deep warehouse experience yet, but you understand how data moves through a system.
Exposure to at least one part of the modern data stack: a cloud warehouse, an orchestration tool, or a transformation framework.
Strong debugging instincts and honesty about what you know versus what you are guessing.
You respond well to feedback and probing - depth may still be developing, but the fundamentals and the trajectory are visible.
Interest in healthcare data. You do not need domain experience, but you need the appetite for a messy, regulated domain.
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.
About Adonis
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.
Compensation Philosophy
Actual base pay will depend on job-related knowledge, skills, and experience. Adonis determines compensation based on each candidateโs experience and qualifications relative to peers, and most new hires fall near the middle of the range. In addition to base salary, youโll receive meaningful equity and great benefits.
Perks at Adonis
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 easy access to all trains and the PATH, and amazing views of the city
Adonis is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics.
At Adonis, we fully comply with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals.
Similar jobs
Search more Data Engineer jobsBuild and maintain scalable, reliable data pipelines and platform systems, shaping data for analytics, data science, and operational use while collaborating across engineering, product, and data teams.
Build backend systems and large-scale data pipelines for Lyft Ads, supporting real-time ad serving, campaign management, analytics, targeting, and measurement in collaboration with product and data teams.
Build and maintain data pipelines, transformations, and models that turn marketplace data into trusted insights and power website features, predictive models, and AI use cases.
Build and own scalable batch and real-time data pipelines, cloud-native data platforms, and data services that deliver reliable, high-quality data for analytics and downstream applications.
