Associate Data Engineer (Miami Only)

Build and maintain data pipelines in Databricks (SparkSQL/PySpark) that ingest, transform, and validate data from sources like our platform databases, payer eligibility files, provider and claims systems, and third-party APIs - with a senior engineer as your mentor and reviewer

Work across the full path a dataset takes - ingestion, transformation, modeling, and the Looker dashboard or downstream workflow it feeds - with guidance at first and increasing independence as you go

Help build and maintain automated inbound/outbound file exchanges (eligibility, claims status, reporting) that other teams depend on to run their day-to-day operations

Work with AI coding agents as a normal part of your workflow, and take full accountability for the output: you should be able to explain every file in your diff

Write tests and validation checks for your pipelines, and treat data quality as part of shipping rather than a phase afterwards

Participate in design reviews and code reviews from your first weeks - including reviewing other engineers’ work, because a bare approval with no comment isn’t a completed review here

Ask why. We reason from first principles and we have an explicit norm that engineers are not implementation machines - if a requirement doesn’t make sense, we want you to say so

Handle protected health information correctly, with data governance, access controls, and audit logging as first-class requirements rather than afterthoughts

Graduating with a B.S. or M.S. in Computer Science, Data Science, Computer Engineering, or a related technical discipline between December 2026 and June 2027

You’ve built things nobody assigned you - side projects, coursework you took further than required, hackathon work, something with real data, however small

Strong SQL skills and working knowledge of Python for data processing

Some exposure to Databricks, Spark, or a similar distributed data processing tool - coursework, an internship, or a personal project is enough; we don’t expect production experience

A basic mental model of how data moves from a source system into a warehouse or lakehouse and out to a report

You use AI coding tools and you’ve formed opinions about them - including where they mislead you and how you catch it

You can explain a technical decision you made and what you’d do differently, which matters more to us than the sophistication of the project

Comfortable with ambiguity and with being told “we haven’t figured that out yet”

Intellectually honest: you can change your mind when the evidence changes, and you’d rather delete your own work than defend it

Clear written and verbal communication - you’ll be writing documentation and PR descriptions that other teams depend on

Authorized to work in the United States, and able to be based in Miami

An internship or co-op where you shipped a data pipeline or report to production

Experience with a BI tool (Looker, Tableau, Power BI) or building a dashboard someone other than you used

Exposure to AWS or another cloud provider

Familiarity with relational or document databases (PostgreSQL, MongoDB)

Anything you’ve built on top of LLM or agent APIs - tools, harnesses, evals, agents

Curiosity about healthcare data standards (HL7, FHIR, DICOM) or claims/eligibility data - we’ll teach you these, and we’d rather you question how things are done in healthcare than arrive already knowing

Coursework or projects involving statistics, data modeling, or data warehousing concepts

A published career framework with written promotion criteria, so you can see the path from Associate Software Engineer through Senior, Staff and Principal, and know exactly what's expected at each step. A mentor from among our senior engineers, for whom mentorship is a written part of their job. Real ownership, quickly. And a mission that's easy to get behind with real life impact.

The base salary range for this position is $85,000 - $115,000. Individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.

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