Hinge Health

Senior Staff Data Engineer - Data & ML Platform

San Francisco-HQ · Staff+

Sponsorship not specifiedDetected 62 days ago

PythonSQLDatabricksAWSKafkaMachine LearningSparkdbtData EngineeringData ScienceMLOpsIncident ResponseComplianceUnityHIPAACommunicationMentoring

About the role

We're looking for a Senior Staff Data Engineer to be the technical backbone of our Data & ML Platform team - the foundation powering analytics, product experiences, and machine learning across Hinge Health.
Your scope extends beyond any single team or system.
This is not a role where you go deep on a single system.

Design the infrastructure that connects the data platform to ML workloads - feature pipelines, feature stores, and serving layers.
Partner with Data Science to ensure the data platform produces ML-ready data and supports model training and inference workflows reliably.
Lead complex initiatives that span multiple teams, services, and domains.
Define data contracts with upstream services, drive schema evolution strategies, and resolve systemic technical friction between data producers and consumers across the company.
Drive the reliability posture of the most critical data systems.
Lead improvements in observability, data quality, incident response, and cost efficiency at a platform level - making the data foundation trustworthy enough that every team in the organization can build confidently on top of it.
You care about schema design, data contracts, and data quality as much as you care about pipeline throughput.
Make the architectural decisions that other teams and engineers build on - balancing reliability, performance, cost, and long-term maintainability across the platform.
Build at the intersection of data and ML platform: Design the infrastructure that connects the data platform to ML workloads - feature pipelines, feature stores, and serving layers.
Drive cross-organizational technical initiatives: Lead complex initiatives that span multiple teams, services, and domains.

A minimum of 4+ years of hands-on data engineering experience
Bachelor's Degree (or equivalent) in Computer Science, Engineering, or a related technical field.
Experience architecting data systems across batch and streaming paradigms, including technologies such as Kafka, Flink, Spark, or equivalent.
Strong proficiency in Python and SQL, with deep experience in distributed data processing frameworks and data platform design.
Track record of setting technical direction across an organization - driving alignment across multiple teams, making architectural decisions with broad impact, and delivering outcomes without formal authority.
Demonstrated experience mentoring senior engineers and influencing engineering culture and standards beyond your immediate team.

You've driven improvements in how upstream services produce data and how downstream teams consume it.
Product and business awareness: You connect your technical work to the problems the business is trying to solve.
You understand the product use cases your platform enables and use that context to prioritize and make better architectural choices.
Operational rigor in regulated environments: You value SLOs, incident management, and observability as first-class concerns.
Experience in HIPAA, SOC 2, or similarly regulated environments is a plus.
Experience with Databricks ecosystem: Delta Lake, MLflow, Unity Catalog - familiarity with this stack accelerates your impact.
Physical demands are minimal and primarily involve standard office activities such as sitting, typing, and video conferencing.
The platform addresses a broad spectrum of MSK care - from acute injury, to chronic pain, to post-surgical rehabilitation - through personalized, evidence-based care.

Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
Modern life stipends: Manage your own learning and development
Grow with us through discounted company stock through our ESPP with easy payroll deductions.
Hinge Health is an

Your strongest work was at a mid-sized or scaling company where you had to make foundational architectural decisions - not at a large tech company where the platform was already built.

equal opportunity employer and prohibits discrimination and harassment of any kind.
If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

This listing is sourced directly from Hinge Health's careers page and normalized into a canonical job model.