Job Opportunities API

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 and machine learning 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.   About Regard Our mission is to bring world-class healthcare to everyone. Regard is an AI-powered Proactive Documentation platform that advances how care is delivered by reviewing all patient data in the EHR to recommend diagnoses and surface clinical evidence. Regard drafts a note even before the physician sees the patient, enabling an approach that gets  documentation right at the point of care - we call it Proactive Documentation. This improves quality of care, reduces physician burden, and improves hospital finances. We are excited by challenges, mission-oriented work, and meaningful relationships. We work closely with some of the top health systems in the country and are leading the change that healthcare - one of the largest and most inefficient industries in the world - needs. We want you to join us. Our Tech Stack: - Data: S3, Apache Iceberg, EMR, PySpark, Dagster, Kubernetes, Clickhouse, PostgreSQL, FastAPI, Metabase   Responsibilities: - Build and maintain data pipelines that support analytics, machine learning development, and research initiatives - Develop and improve data models and transformations that reliably deliver data to downstream consumers - Partner with engineering teams to identify and resolve data quality issues, helping ensure datasets are accurate and trustworthy - Support the operation, monitoring, and maintenance of the data platform and its pipelines - Collaborate with Product, Engineering, and Research teams to deliver data and insights that inform business and product decisions - Investigate pipeline failures, data inconsistencies, and upstream changes, contributing to timely resolution and continuous improvement - Help optimize data processing workloads and storage patterns to improve performance, scalability, and cost efficiency Minimum Qualifications: - 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) - Practical experience with LLM-assisted development, with an understanding of its capabilities and limitations - Willingness to participate in on-call operational support for owned systems Preferred Qualifications: - Experience with one or more of the following technologies: Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or Metabase - Experience supporting data quality, monitoring, and observability initiatives - Familiarity with healthcare data, including HIPAA compliance, de-identification, or healthcare data standards such as OMOP CDM - Experience building or supporting data pipelines used for machine learning training, evaluation, or production workflows - Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work | Location | Work Authorization - For this role, Regard is currently only considering candidates who are authorized