Senior Staff Data Engineer – Data & ML Platform

🕒 May 21

🏢🏡 San Francisco – Hybrid

💵 $240k - $360k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Hinge Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🧘 Wellness

🤝 B2B

☁️ SaaS

💰 $400M Series E - Hinge Health on 2021-10

Wellness • B2B • SaaS

Hinge Health is a digital health company that provides virtual musculoskeletal (MSK) care, including guided physical therapy, pelvic floor therapy, and a dedicated care team (physical therapists, health coaches, orthopedic specialists) supported by AI-driven tools and 3D motion tracking. It offers an app-based care experience and an FDA-cleared wearable (Enso) for drug-free pain relief, serving both individual patients and enterprise clients such as employers and health plans with value-based contracting and ROI-focused programs.

📋 Description

• Set the technical vision for the data platform: Own the long-term architectural direction for how streaming and batch systems, data models, and serving layers fit together. 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. • Raise the engineering bar across the organization: Set standards that extend beyond your immediate team — data modeling patterns, schema governance, testing practices, pipeline reliability, and code quality. • Drive cross-organizational technical initiatives: Lead complex initiatives that span multiple teams, services, and domains. • Own platform reliability and operational excellence: Drive the reliability posture of the most critical data systems.

🎯 Requirements

• Bachelor’s Degree (or equivalent) in Computer Science, Engineering, or a related technical field. • 10+ years of hands-on data engineering experience, with a significant portion spent in platform or infrastructure roles building systems that other teams depend on. • 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. • Data and ML platform crossover: You've built or contributed to ML platform infrastructure — feature pipelines, feature stores, model serving, or MLOps tooling — as a natural extension of your data engineering work. • 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.

🏖️ Benefits

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live. • 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.