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Careers

Build data that health systems rely on

RSN helps health systems and cancer centers turn complex clinical and operational data into decisions. We are a small team, so your work ships quickly and is seen by the people who use it.

Data Engineer

Type Full time Location Plano, Texas, or remote within the US Experience Recent graduates welcome

You will design and build the pipelines, models and data products behind our client analytics: health system benchmarking, population and market intelligence, and reporting that executives use every week.

What you will do

  • Build and maintain Python ETL pipelines that load public and client sources into clean, documented models
  • Write performant SQL for transformation, validation and data quality checks
  • Shape semantic models that feed Tableau dashboards and AI driven question answering
  • Work directly with analysts and clients to turn business questions into well defined datasets
  • Automate refresh, testing and deployment so every release is repeatable

What we are looking for

  • A master’s degree in computer science, data science, information systems, statistics or a related field
  • Strong Python for ETL (pandas, PySpark or similar) and strong SQL
  • Familiarity with a cloud data platform such as Microsoft Azure or Databricks
  • Understanding of data modeling (star schemas, slowly changing dimensions) and version control with Git
  • Clear written communication and the discipline to document your work

Nice to have

  • Experience with healthcare data such as claims, EHR extracts, CMS public files or HL7 and FHIR
  • Tableau experience, including calculated fields, published data sources and Tableau Server or Cloud
  • Exposure to large language models, retrieval or semantic layers

Work authorization

Applicants must be authorized to work in the United States. RSN is not able to sponsor employment visas (such as H‑1B) at this time. Candidates currently authorized to work through F‑1 OPT or STEM OPT are welcome to apply.

Apply

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RSN is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship status, age, disability, veteran status or any other protected characteristic.