Data Engineer

Regard; California; Hybrid; USD 160,000 - 190,000; Full time

Benefits offered by this job

Equity

Medical, Dental, and Vision insurance

18 PTO days + 1 week holiday break

Monthly health & wellness budget

Company-sponsored team retreat +social

Job summary

Regard is seeking a Data Engineer to build and maintain data pipelines and infrastructure that turn raw data into actionable metrics and insights for product decisions and research.

You will work with Engineering and Product teams on data models, transformations, and data quality, ensuring reliability, scalability, and cost efficiency across the data stack.

Relocation is available for qualified candidates; this hybrid role requires in-office presence in NYC, LA, or SF on a regular basis.

Qualifications

• BS in Computer Science or related field
• 3+ years of experience in a data engineering role
• Experience building and maintaining data pipelines and data models in production
• Proficiency in Python and SQL
• Experience with distributed data processing frameworks such as PySpark
• Experience with cloud-based data platforms and services (AWS preferred)
• Practical experience with LLM-assisted development and understanding of its capabilities and limitations
• Willingness to participate in on-call operational support for owned systems

Responsibilities

• Build and maintain data pipelines supporting analytics and research initiatives
• Develop and improve data models and transformations delivering data to downstream consumers
• Partner with engineering teams to resolve data quality issues ensuring datasets are accurate
• Support operation, monitoring, and maintenance of the data platform and pipelines
• Collaborate with Product, Engineering, and Research teams to deliver data and insights for business decisions
• Investigate pipeline failures and upstream changes contributing to timely resolutions and improvements
• Help optimize data processing workloads for performance, scalability, and cost efficiency

Skills

Python

SQL

PySpark

Distributed data processing

LLM-assisted development

Education

BS in Computer Science or related field

Tools

AWS

Apache Iceberg

AWS Athena

Dagster

PostgreSQL

Clickhouse

FastAPI

Metabase

Job description

Join us on our mission to bring world-class healthcare to everyone. Join us on our mission to bring world-class healthcare to everyone.

We believe healthcare can be better. As a team, we hold a high bar, act with urgency, and grow together. We believe healthcare can be better. As a team, we hold a high bar, act with urgency, and grow together.

Culture

Our values

We ask hard questions, obsess over the details, practice constructive feedback, and never forget to say thank you. We ask hard questions, obsess over the details, practice constructive feedback, and never forget to say thank you.

Quality

We have high expectations for our product and for each other. We're building a platform that helps doctors diagnose and treat patients — ensuring the highest standard of quality is our top priority.

Action

We lean toward action over deliberation. We take action when we can learn from mistakes, prioritizing thoughtful analysis for more consequential decisions.

Improvement

We always strive to improve both the product and ourselves. We believe in a culture of radical transparency and consistent feedback.

Community

We believe our best work happens through inspiration from each other. We invest in meaningful time together to build relationships both internally and externally.

How we work

We're curious

We show attention to detail

We're resourceful

We give and receive constructive feedback

We proactively express gratitude

Total rewards

Perks and benefits

Competitive salary
and equity

Medical, dental, and vision
insurance

18 PTO days + 10 holidays +
holiday break

Monthly health &
wellness budget

Team retreats, social events,
and celebrations

Free lunches, beverages, and snacks in office

Relocation support

Semi-annual travel budget for team co-working weeks

6 annual remote work weeks

Sabbatical program at 5 years

Open roles

Find your place on the team

Location

Employment Type

Location Type

Hybrid

Department

Compensation

At Regard, we carefully consider a wide range of factors when determining compensation, including your skills, qualifications, location, and experience. We expect the base salary range for this position to be $160,000 to $190,000. This is subject to change and may be modified in the future.

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.

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

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 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

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.