Jobs / REG***
Senior Data Engineer
REG*** · San Francisco, CA, United States
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San Francisco, CA, United States165,000-220,000 USD/yearlyHybrid
Remuneration
165,000-220,000 USD/yearly
Location
San Francisco, CA, United States
Visa sponsorship
Sponsors visa
Job summary
As a Senior Data Engineer at REG***, you will own the design, development, and production deployment of the data services that power the REG*** platform. From ingesting and standardizing clinical data across health systems to making it reliably available for downstream product, analytics, and machine learning workflows, you'll build and evolve the infrastructure that enables the platform.
Benefits
Additionally, hybrid employees have the flexibility to work from locations outsiComp |Eligible for equity99% employer paid healthMedical, 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 muWe celebrate diversity and are proud of our supportive, inclusive workplace.All candidates must successfully complete a background check as part of the hiri
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
- Experience with one or more of the following
Responsibilities
- As a Senior Data Engineer at REG***, you will own the design, development, and production deployment of the data services that power the REG*** platform.
- We prioritize transparent, code-driven systems over black-box services, and you'll help architect the data platform that supports that philosophy.
- 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
Skills
Electronic Health Records
Degrees
AssociateBachelorDegree
Work schedule
On-call
Industry
EnergyHealthcarePublic-sector
Company size
Smb
Relocation
Yes