Data Platform Engineer

Adonis.io

$165K — $190K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of software or data engineering experience with strong production code examples.
  • Solid fundamentals in Python and SQL with understanding of data movement.
  • Exposure to modern data stack elements such as cloud warehouses or orchestration tools.
  • Strong debugging instincts and a realistic view of your knowledge level.
  • Receptive to feedback and eager to learn, indicating a growth mindset.
  • Interest in the healthcare domain, even without prior experience.

Responsibilities

  • Build and maintain pipeline components guided by senior engineers.
  • Write production-quality Python and SQL for data extraction and transformations.
  • Contribute to core entity models while gaining a deeper understanding of healthcare data.
  • Debug and address data quality and pipeline issues thoroughly.
  • Run and maintain the systems you build, participating in on-call support.
  • Utilize AI tools like Claude Code in design and development processes.

Benefits

  • Competitive equity packages
  • Employer-paid medical, dental, and vision insurance
  • Employer-funded Health Savings Account (HSA)
  • Parental leave
  • Commuter benefits
  • Daily office lunches and snacks
  • Generous paid time off (PTO)
  • Prime location in 3 World Trade Center with great city views
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.
Nice to Have
  • 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.

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


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