Data Engineer

Data EngineerAs 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.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, MetabaseResponsibilities:Build and maintain data pipelines that support analytics and research initiativesDevelop and improve data models and transformations that reliably deliver data to downstream consumersPartner with engineering teams to identify and resolve data quality issues, helping ensure datasets are accurate and trustworthySupport the operation, monitoring, and maintenance of the data platform and its pipelinesCollaborate with Product, Engineering, and Research teams to deliver data and insights that inform business and product decisionsInvestigate pipeline failures, data inconsistencies, and upstream changes, contributing to timely resolution and continuous improvementHelp optimize data processing workloads and storage patterns to improve performance, scalability, and cost efficiencyMinimum qualifications:BS in Computer Science, Mathematics, Statistics, a related field, or equivalent practical experience3+ years of experience in data engineering roleExperience building and maintaining data pipelines and data models in a production environmentProficiency in Python and SQLExperience working with distributed data processing frameworks such as PySparkExperience with cloud-based data platforms and services (AWS preferred)Practical experience with LLM-assisted development, with an understanding of its capabilities and limitationsWillingness to participate in on-call operational support for owned systemsPreferred qualifications:Experience with one or more of the following technologies: Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or MetabaseExperience supporting data quality, monitoring, and observability initiativesFamiliarity with healthcare data, including HIPAA compliance, de-identification, or healthcare data standards such as OMOP CDMExperience building or supporting data pipelines used for production workflowsExperience working with cross-functional teams in a fast-paced startup environmentHybrid 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 areasWe 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 monthWe will provide relocation assistance to anyone who does not already reside in the NYC metro areaWe prefer hiring people within commuting distance of our offices because we value getting together in person regularlyFor those who enjoy working from our LA or Manhattan offices on a more regular basis, we offer catered lunches and other fun perksAdditionally, hybrid employees have the flexibility to work from locations outside of their home office from up to 6 weeks per yearComp | Perks | Benefits:Eligible for equity99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription18 PTO days/yr + 1 week holiday breakMonthly health & wellness budgetCompany-sponsored team retreat + social eventsA sabbatical programOur 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.