Senior Data Engineer

Senior Data Engineer As a Senior Data Engineer at Regard, you'll 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, analytics, and AI research workflows, you'll build and evolve the infrastructure that enables the platform. You'll help set the technical direction for the data team — designing lakehouse architecture, leading experimentation with processing and storage approaches, and mentoring engineers — while remaining hands-on with implementation and production delivery. We prioritize transparent, code-driven systems over black-box services, and you'll help architect the data platform that supports that philosophy. 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. Our Tech Stack: Python, SQL, Amazon S3 and S3 Tables, Apache Iceberg, PySpark, EMR Serverless, AWS Glue, Athena Orchestration & infrastructure: Data services & analytics: PostgreSQL, ClickHouse, FastAPI, Metabase Design and evolve the lakehouse architecture and shared processing capabilities that let the team build with an expanding range of data sources and use cases Lead continuous experimentation with Spark workloads, Iceberg storage, and orchestration — testing optimizations and measuring their effects on performance, scalability, and cost Build data APIs, developer tooling, and self-service capabilities that make it easier for colleagues and AI assistants to discover data and create new applications Partner with Research and Engineering on clinical AI workflows, including dataset curation, de-identification, human review, and reproducible model evaluation Own projects from technical design through deployment and production operation, setting standards for data quality, documentation, and privacy Guide engineers through design and code review, develop reusable platform capabilities, and create space for the team to experiment and learn Bachelor's degree in Computer Science, Mathematics, Statistics, a related field, or equivalent practical experience 5+ years of experience in data engineering roles, with significant hands-on experience using PySpark and cloud-based data services (AWS preferred) Strong proficiency in Python and SQL, with a track record of delivering maintainable software through testing, code review, and CI/CD Depth in data modeling and pipeline design, including integrating multiple sources and designing systems for scale and evolving use cases Experience designing lakehouse systems with Apache Iceberg or similar table formats and developing reusable approaches to distributed data processing Experience with Dagster, Kubernetes, infrastructure as code such as Pulumi, and AWS data catalogs and access controls such as Glue, Lake Formation, and IAM Experience with healthcare data, HIPAA requirements, de-identification, and standards or vocabularies such as FHIR, OMOP CDM, or ICD-10 Experience partnering with Product to develop shared metrics, analytical datasets, and visualizations, or building data services with tools such as FastAPI, PostgreSQL, ClickHouse, or Athena 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 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 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. Recruitment Fraud Notice Regard only conducts hiring through official @regard.
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