Senior Staff Data Engineer - Data & ML Platform
Hinge Health · San Francisco-HQ · US
Posted 60+ days ago
Health Tech
Hybrid
Not yet analysed
Demand85
Career growth88
Healthcare fit35
Remote potential70
5-year outlook
Senior Staff Data Engineers at health tech companies typically command top-tier compensation, with strong growth potential as AI and data platforms expand. Expect competitive base and equity packages, likely in the high six figures for senior staff level.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
full-time
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Only consider if you have a strong software/data engineering background (e.g., prior engineering roles, CS degree) and are looking to leverage healthcare domain knowledge in a technical capacity. Clinicians without deep engineering experience will find this role inaccessible.
Who should apply
Clinicians with a computer science or engineering degree, prior data engineering experience, and a passion for health tech infrastructure. Also healthcare graduates with a strong technical portfolio and 4+ years of hands-on data engineering.
CV angle
Highlight any healthcare domain expertise (e.g., clinical workflows, patient data) alongside your data engineering skills. Emphasize experience with large-scale data systems, ML pipelines, and cross-functional collaboration. Frame clinical experience as domain knowledge that adds value to health tech product development.
Skills to highlight
- Python
- SQL
- Apache Spark
- dbt
- Kafka
- Flink
- Databricks
- AWS
- Data Architecture
- ML Pipelines
- Streaming/Batch Processing
- Mentoring
Role summary
A senior-level data engineering role at Hinge Health, responsible for setting the technical vision for the data and ML platform, architecting systems that support analytics and machine learning, and driving cross-team initiatives. Requires deep expertise in modern data stack technologies and leadership skills.
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