We9re hiring Data Engineers graduating between December 2026 and June 2027 to join our data team in Miami, starting May or June 2027. This is not a rotational program and it isn9t a shadowing role. You9ll work on the pipelines and integrations that make OneImaging9s data the source of truth for the business - from the raw feed coming out of a payer, a provider, or our own platform, through the transformation logic, to the dashboard or automation that someone in operations, finance, or care navigation actually relies on every day.

It also means you9ll be building alongside a team that has moved unusually early on AI-assisted engineering. We run a shared AI harness that every engineer9s agent builds on, and we9re explicit internally that writing code is no longer the slow part of the job - the slow parts are deciding what to build and verifying what comes out. We9ll expect you to use these tools heavily and to own everything they produce for you.

What you9ll do:

• 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 engineers9 work, because a bare approval with no comment isn9t 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 doesn9t 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

About you:

• 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
• You9ve 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 don9t 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 you9ve formed opinions about them - including where they mislead you and how you catch it
• You can explain a technical decision you made and what you9d do differently, which matters more to us than the sophistication of the project
• Comfortable with ambiguity and with being told 4we haven9t figured that out yet4;
• Intellectually honest: you can change your mind when the evidence changes, and you9d rather delete your own work than defend it
• Clear written and verbal communication - you9ll 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

Nice to have, and genuinely not required:

• 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 you9ve built on top of LLM or agent APIs - tools, harnesses, evals, agents
• Curiosity about healthcare data standards (HL7, FHIR, DICOM) or claims/eligibility data - we9ll teach you these, and we9d rather you question how things are done in healthcare than arrive already knowing
• Coursework or projects involving statistics, data modeling, or data warehousing concepts

What we9ll give you

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 what9s 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 that9s 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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