Data Engineer

Regard; New York (NY); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Eligible for equity

99% employer paid health benefits

18 PTO days/yr

Monthly health & wellness budget

Company-sponsored team retreat

Sabbatical program

Job summary

Regard, located in New York City, is seeking an experienced Data Engineer to build and maintain data pipelines for analytics and machine learning. Candidates should have at least 3 years of experience in data engineering, proficient in Python and SQL, and familiar with cloud platforms, particularly AWS.

The role supports a hybrid work model with an expectation for in-office presence on Tuesdays and Thursdays. We offer competitive equity, comprehensive health benefits, and numerous perks including a wellness budget and sabbatical program.

Qualifications

• 3+ years of experience in a data engineering role.
• Experience building and maintaining data pipelines in a production environment.
• Experience with LLM-assisted development.

Responsibilities

• Build and maintain data pipelines for analytics.
• Develop and improve reliable data models.
• Partner with teams to resolve data quality issues.
• Support operation and maintenance of the data platform.

Skills

Python

SQL

Data Pipeline Development

Cloud Data Platforms (AWS preferred)

Data Quality Assurance

Distributed Data Processing (PySpark)

Education

BS in Computer Science, Mathematics, Statistics or related field

Tools

Apache Iceberg

AWS Athena

Dagster

Clickhouse

PostgreSQL

FastAPI

Metabase

Job description

About Regard

Our mission is to bring world‑class healthcare to everyone. Regard is an AI‑powered Proactive Documentation platform that reviews all patient data in the EHR to recommend diagnoses and surface clinical evidence. It 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 a 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 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. We also require more frequent in‑office work during the onboarding period and team onsite weeks up to once per month
• 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
• For those who enjoy working from our LA or Manhattan offices on a more regular basis, we offer catered lunches and other fun perks
• Additionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per year

Comp | Perks | 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
• A sabbatical program

Our goal at Regard is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. Regard is proud to be an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws. We celebrate diversity and are proud of our supportive, inclusive workplace.

All candidates must successfully complete a background check as part of the hiring process.

Compensation Range: $140K - $175K