Senior Staff Data Engineer - Data & ML Platform

Ovii's Interpretation of the Role

Senior Staff Data Engineer leading the technical vision of Hinge Health's Data & ML Platform. Owns architecture for streaming, batch, and ML‑ready data pipelines while driving standards, reliability, and cross‑team alignment.

Role Snapshot

• Own platform architecture across streaming & batch
• Design ML‑ready feature pipelines & stores
• Set data modeling, schema, and testing standards
• Mentor senior engineers and influence engineering culture
• Lead cross‑team technical initiatives
• Ensure platform reliability, observability, and cost efficiency

Must-Have Requirements

• Python
• SQL
• Apache Kafka
• Apache Flink
• Apache Spark
• Data modeling & governance
• Mentoring senior engineers
• hands‑on data engineering
• architecting batch and streaming systems
• Python & SQL development
• Bachelor’s Degree in Computer Science, Engineering, or related field

Nice-to-Have Signals

• Databricks ecosystem
• Observability & SLOs
• HIPAA/SOC 2 experience
• AI‑assisted development tools
• 10+ years platform experience
• growth‑stage environment
• regulated (HIPAA/SOC 2) experience

Work Setup

• Location: San Francisco, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Travel: Occasional off‑site/on‑site events
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Notice period
• Security clearance
• Coding test

What You'll Likely Work On

• Define long‑term architecture for streaming, batch, and serving layers
• Build and maintain feature pipelines, feature stores, and model‑serving infrastructure
• Establish data modeling patterns, schema governance, and testing practices
• Drive cross‑functional initiatives, data contracts, and schema evolution across teams
• Lead reliability improvements: observability, incident response, and cost optimization
• Collaborate with Data Science, product, and engineering leaders to align platform with AI goals

Good Fit If You Have

• Experience building platforms in growth‑stage companies
• Familiarity with HIPAA or SOC 2 regulated environments
• Comfort using AI‑assisted development tools
• Hands‑on experience with the Databricks ecosystem