Regard

Data Engineer

New York, NY

Work authorization requiredDetected 34 days ago

PythonFastAPISQLPostgreSQLAWSKubernetesMachine LearningData EngineeringLLMsStatisticsComplianceHIPAAEHR/EMRResearch

About the role

This improves quality of care, reduces physician burden, and improves hospital finances.
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 celebrate diversity and are proud of our supportive, inclusive workplace.

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
Help optimize data processing workloads and storage patterns to improve performance, scalability, and cost efficiency
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.

3+ years of experience in data engineering role
Proficiency in Python and SQL
Experience working with distributed data processing frameworks such as PySpark
Practical experience with LLM-assisted development, with an understanding of its capabilities and limitations

Experience with one or more of the following
Experience with one or more of the following technologies: Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or Metabase
For this role, Regard is currently only considering candidates who are authorized to work in the US without visa sponsorship, and are within the New York City, Los Angeles, or San Francisco metro areas
We expect our Engineers to be in the office on Tuesdays and Thursdays.
Company-sponsored team retreat + social events
A sabbatical program

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 working with cross-functional teams in a fast-paced startup environment
We will provide relocation assistance to anyone who does not already reside in the NYC metro area
We prefer hiring people within commuting distance of our offices because we value getting together in person regularly
Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year
Eligible for equity
99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
18 PTO days/yr + 1 week holiday break
Monthly health & wellness budget
Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or Metabase
Hybrid Work | Location | Work Authorization

Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year

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.
Our mission is to bring world-class healthcare to everyone.
Build and maintain data pipelines that support analytics, machine learning development, and research initiatives

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.
We are excited by challenges, mission-oriented work, and meaningful relationships.

This listing is sourced directly from Regard's careers page and normalized into a canonical job model.