Regard reviews 100% of the EHR to recommend diagnoses and generate documentation at the point of care — earning revenue through better care, not queries. Backed by Techstars.
About the role
Build and maintain data pipelines that support analytics and research initiatives Develop and improve data models and transformations that reliably deliver data to downstream consumers
What they're looking for
- BS in Computer Science, Mathematics, Statistics, a related field, or equivalent practical experience
- 3+ years of experience in data engineering role
- Experience building and maintaining data pipelines and data models in a production environment
- Proficiency in Python and SQL
- Experience working with distributed data processing frameworks such as PySpark
- Experience with cloud-based data platforms and services (AWS preferred)
More about this role
As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We run an engineering-first stack that prioritizes transparent, code-driven systems over black-box services, and you will contribute to the continued growth and reliability of our data platform.
Working closely with Engineering and Product teams, you'll develop and improve data pipelines, support analytics initiatives, and help ensure the quality and availability of critical datasets. You'll have the opportunity to work across the full data stack while growing your expertise in distributed data processing, data modeling, and platform operations.
Regard's mission is to bring world-class healthcare to everyone. Our technology reasons through a patient's entire medical record to recommend diagnoses that would otherwise be missed, in real time at the point of care, during chart review, and in population-wide screening to identify patients who qualify for lifesaving treatment.
We work alongside some of the top health systems in the country to lead the change this industry needs. We're excited...
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