Data Engineering Manager, 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 potential50
5-year outlook
Competitive for senior data engineering leadership in health tech, with strong growth potential as the company scales its data and ML platforms.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with substantial data engineering and ML platform experience should consider this role, as it leverages healthcare domain knowledge in MSK care. However, without a strong technical background, it is not a realistic entry point.
Who should apply
Clinicians with a background in data engineering, informatics, or ML engineering, particularly those with experience in healthcare data and a desire to lead platform teams.
CV angle
Highlight any clinical domain expertise in MSK or digital health, combined with concrete data engineering achievements (e.g., building pipelines, feature stores, or ML platforms). Emphasize leadership in technical teams and ability to bridge clinical and technical worlds.
Skills to highlight
- Data modeling
- Streaming architectures
- ML platform design
- Feature store implementation
- Data governance
- Team leadership
- SLO/observability
- Cross-functional collaboration
Role summary
A data engineering manager role at Hinge Health, leading the data and ML platform team to build streaming-first, ML-ready infrastructure for personalized MSK care.
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