Senior Data Engineer
•Today
| Estimated Pay info | Based on similar jobs in your market$82 per hour |
|---|---|
| Hours | Full-time |
| Location | San Francisco, CA San Francisco, California open_in_new |
About this job
Job Description
Job Description
Senior Data Engineer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
Senior Data Engineer
Compensation: $160K-$230K base + equity
Location: San Francisco (in the city) or El Segundo, CA (3 days onsite)
We're building a real-time healthcare AI platform that helps detect patient deterioration early - already supporting 40,000+ patients daily across post-acute care environments.
This is a high-impact, hands-on role where you'll build and scale the data infrastructure powering real-time clinical monitoring and machine learning systems. You'll work closely with backend engineers, ML teams, and clinical stakeholders to ensure reliable, secure, and scalable data flows across the platform.
What You'll Do
- Design, build, and maintain scalable data pipelines ingesting data from EHR systems, medical devices, and hospital systems
- Build integrations using APIs, webhooks, and CDC-based ingestion patterns
- Transform and normalize data for downstream systems (MySQL, Snowflake)
- Build high-throughput, reliable pipelines supporting real-time and batch workloads
- Work with core healthcare data (ADT events, clinical data, vitals)
- Partner with internal teams and customers on data onboarding and reliability
- Design data models and support both application and analytics use cases
- Optimize performance and scalability across Snowflake and MySQL
- Deploy and operate data systems in AWS
- Implement monitoring, logging, and alerting for production pipelines
- Support production systems and improve reliability over time
- Work within a HIPAA-compliant environment with support from the team
- Collaborate with ML teams on feature pipelines and data quality
What You'll Need
- 5+ years of experience in Data Engineering or Backend Engineering
- Strong Python and SQL skills
- Experience building production-grade data pipelines end-to-end
- Experience with Snowflake and MySQL
- Experience with APIs, webhooks, or CDC-style ingestion
- Experience working in AWS or similar cloud environments
- Experience working with sensitive or regulated data is a plus
Nice to Have
- Exposure to HL7 or FHIR
- Experience supporting ML pipelines
- Experience with real-time or streaming systems
Why This Role
- Direct impact on patient outcomes
- Real-time, high-scale data challenges
- High-ownership environment on a small, strong team
- Opportunity to help build out the SF team
Benefits
- 100% company-paid medical, dental, and vision
- 401(k) with company match
- Bonus and equity
- Generous PTO
- Professional development budget
- Company-paid annual retreat
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter . Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.
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Full-time Jobs Part-time Jobs Gig Jobs Posting ID: 1271810183 Posted: 2026-06-24 Job Title: Senior Data Engineer