Senior Data Engineer

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical data across health systems to making it reliably available for downstream product and analytics workflows, you'll build and evolve the infrastructure that enables the platform. This includes analyzing and tuning Spark workloads and partitioning strategies to control costs, adapting to upstream breaking changes, and enforcing rigorous data quality standards so our analytics are as dependable as our application code. We prioritize transparent, code-driven systems over black-box services, and you'll help architect the data platform that supports that philosophy.

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:

Collect, model, and consolidate data into the data platform to support analytics and research initiatives

Design, build, and evolve data models and pipelines that reliably transform and deliver data to downstream consumers

Own data quality in collaboration with engineering teams, ensuring datasets are trustworthy and production-ready

Partner closely with product to deliver analytics and actionable insights to internal and external stakeholders

Own the reliability and day-to-day operation of the data platform and its pipelines through proactive monitoring, alerting, and operational management

Minimum Qualifications:

Bachelors degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent practical experience

5+ years of experience in data engineering roles

3+ years of experience using PySpark to build data pipelines

3+ years of experience in public cloud provider technologies (AWS tooling such as S3, EMR, or Athena)

Strong proficiency in Python and SQL

Hands-on experience across the full data stack, with particular depth in data modeling and pipeline design

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, Dagster, Clickhouse, PostgreSQL, FastAPI, Metabase

Experience working with healthcare data, including HIPAA compliance, data de-identification, and familiarity with open data standards such as OMOP CDM

Experience building and supporting data pipelines for production workflows, including validation, deployment, and ongoing performance evaluation

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.

• Recruitment Fraud Notice
• Regard only conducts hiring through official @regard.com email addresses. We will never ask candidates to pay fees, purchase equipment, or share sensitive personal information (such as Social Security numbers or bank details) during the interview process. If you receive an email about a job opportunity at Regard from a non-regard.com email address, it is not from us.