Staff Data Engineer - Data & ML Platform
Hinge Health · San Francisco-HQ · US
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand80
Career growth85
Healthcare fit25
Remote potential70
5-year outlook
Staff-level data engineering roles in health tech command competitive compensation, with strong growth potential as data infrastructure becomes more critical. Exact figures vary by location and company, but this is a high-paying senior technical position.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians without a deep software engineering background should not apply, as this role requires extensive data engineering expertise. However, clinicians with strong technical skills in data pipelines and cloud platforms could leverage their healthcare domain knowledge in this high-impact role.
Who should apply
Healthcare professionals with a background in data engineering, computer science, or ML infrastructure, particularly those with experience in regulated environments like HIPAA.
CV angle
Highlight any experience with healthcare data, HIPAA compliance, and data pipeline work. Emphasize technical skills in Python, SQL, and cloud platforms, and frame clinical experience as domain expertise that informs data architecture decisions.
Skills to highlight
- Python
- SQL
- Kafka
- Databricks
- PySpark
- Data Architecture
- HIPAA compliance
- Streaming data processing
Role summary
A senior technical leadership role owning the architecture and reliability of a health tech company's data platform, including streaming, batch, and ML data pipelines.
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