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, ML development, 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
- Willingness to participate in on-call operational support for owned systems
- Ability to travel up to four weeks per year for company co-working and/or retreat weeks
- Strong verbal and written communication skills
- Practical experience leveraging AI coding tools in day-to-day software development (e.g., Cursor, Claude Code, Codex)
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 ML workflows, including model training, 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 may request more frequent in-office work during the onboarding period
- 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
Top Skills
What We Do
Regard is a health-tech start-up designed with physician workflows in mind. Regard synthesizes historical patient data, automates note-taking, and recommends diagnoses, empowering physicians to practice at the top of their license and administrators to spend their energy advancing the industry.
Why Work With Us
At Regard, we are building a product that is saving lives. We have an open feedback/growth minded culture where you have direct access to executive team. Being a remote/hybrid company, we offer an outstanding work/life balance with opportunities for the team to come together in person for work and fun!
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