OneImaging is building a concierge radiology network across the United States and is hiring an Associate Data Engineer to join the Miami data team. We are seeking graduates between December 2026 and June 2027 to start in May or June 2027 in Miami. This is not a rotational program or a shadowing role; you will work on pipelines and integrations that make OneImaging’s data the source of truth for the business—from raw feeds from payers, providers, or our platform, through transformation logic, to dashboards or automated workflows used by operations, finance, or care navigation.

We’re advancing AI-assisted engineering and operate a shared AI harness that every engineer’s agent builds on. You will use these tools heavily and own the outputs you produce.

What you’ll do: - Build and maintain data pipelines in Databricks (SparkSQL/PySpark) that ingest, transform, and validate data from sources such as platform databases, payer eligibility files, provider and claims systems, and third-party APIs, with a senior engineer as mentor and reviewer - Work across the full data lifecycle—from ingestion to transformation, modeling, and the Looker dashboard or downstream workflow it feeds—with increasing independence - Help build and maintain automated inbound/outbound file exchanges (eligibility, claims status, reporting) that other teams rely on - Work with AI coding agents as 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 shi

OneImaging is building a concierge radiology network across the United States and is hiring an Associate Data Engineer to join the Miami data team. We are seeking graduates between December 2026 and June 2027 to start in May or June 2027 in Miami. This is not a rotational program or a shadowing role; you will work on pipelines and integrations that make OneImaging’s data the source of truth for the business—from raw feeds from payers, providers, or our platform, through transformation logic, to dashboards or automated workflows used by operations, finance, or care navigation.

We’re advancing AI-assisted engineering and operate a shared AI harness that every engineer’s agent builds on. You will use these tools heavily and own the outputs you produce.

What you’ll do: - Build and maintain data pipelines in Databricks (SparkSQL/PySpark) that ingest, transform, and validate data from sources such as platform databases, payer eligibility files, provider and claims systems, and third-party APIs, with a senior engineer as mentor and reviewer - Work across the full data lifecycle—from ingestion to transformation, modeling, and the Looker dashboard or downstream workflow it feeds—with increasing independence - Help build and maintain automated inbound/outbound file exchanges (eligibility, claims status, reporting) that other teams rely on - Work with AI coding agents as 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 shi