Hinge Health
Senior Staff Data Engineer - Data & ML Platform
San Francisco-HQ · Hybrid · Senior Staff · Full-time · Posted May 21, 2026
- Experience
- Minimum 4+ years; preferred 10+ years of hands-on data engineering experience.
- Education
- Bachelor’s Degree (or equivalent) in Computer Science, Engineering, or a related technical field.
About the job
Sets technical direction and architecture for Hinge Health’s data platform, connecting batch and streaming systems to analytics and machine-learning workloads.
What you'll do
- Define platform architecture and standards across data models, streaming, batch processing, and serving layers.
- Build data-to-ML infrastructure, including feature pipelines and serving layers, in partnership with Data Science.
- Lead cross-team initiatives and improve platform reliability, data quality, observability, and cost efficiency; mentor senior engineers and join weekly on-call.
What they ask for
- 4+ years of hands-on data engineering experience.
- Bachelor’s Degree (or equivalent) in Computer Science, Engineering, or a related technical field.
- Experience architecting batch and streaming data systems; strong Python and SQL proficiency and experience with distributed data processing and data platform design.
- ML-platform infrastructure experience, plus a track record of setting technical direction across teams and mentoring senior engineers.
Nice to have
- 10+ years of hands-on data engineering experience, especially in platform or infrastructure roles; experience in a growth-stage environment.
- Experience with HIPAA, SOC 2, or similar regulated environments; Databricks ecosystem familiarity; AI-assisted development tools.
Pay
$240K – $335K USD base salary
Tools
Python, SQL, Spark, dbt, Kafka, Flink, Databricks, AWS
AI focus
Build data infrastructure for ML workloads, including feature pipelines, feature stores, model serving, and MLOps tooling; support model training and inference workflows.
Model-written summary · the original posting is authoritative