Regard
Data Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · New York, NY
Employer listed it 3 months ago · Added yesterday
Been open since 3 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$160,000 to $190,000
Location
Hybrid · New York, NY
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around New York, NY, San Francisco, CA, Los Angeles, CA, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "New York, NY, San Francisco, CA, Los Angeles, CA, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the 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.
About Regard
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 by challenges, mission-oriented work, and meaningful relationships. 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 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
Requirements
- ·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
Benefits
- ·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
- ·Company-sponsored team retreat + social events
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Regard, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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