Senior Staff Data Engineer - Data & ML Platform

Hinge HealthSan Francisco-HQRnD

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Opens the official Hinge Health careers page

Salary

$240K - $360K USD

Job type

Full-time

Work mode

Remote

Posted

21 May 2026

Status

Open · checked 7d ago

About this role

Role Overview

The Senior Staff Data Engineer at Hinge Health shapes the core technical strategy and architecture for the data and machine learning platform in San Francisco. This hybrid role suits an experienced engineer who wants to drive foundational platform decisions, mentor senior team members, and connect data systems with ML workloads.

Key Responsibilities

Establish the long-term technical vision and architectural direction for data models, streaming and batch systems, and serving layers.

Design infrastructure bridging the data platform to machine learning workloads, including feature stores, feature pipelines, and serving layers.

Lead complex cross-organizational technical initiatives, define data contracts, and guide schema evolution strategies.

Oversee platform reliability, operational excellence, observability, data quality, and cost efficiency across critical data systems.

Raise the engineering bar by setting organizational standards for data modeling patterns, testing practices, and pipeline reliability.

Requirements

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.

Hands-on experience architecting data systems across both streaming and batch paradigms using technologies like Kafka, Flink, or Spark.

Strong proficiency in SQL and Python, accompanied by deep expertise in distributed data processing frameworks and platform design.

Direct background building or contributing to MLOps tooling, feature pipelines, model serving, or feature stores.

Proven track record of setting technical direction, mentoring senior engineers, and driving alignment across multiple teams without formal authority.

Nice to Have

10+ years of hands-on data engineering experience, particularly in platform or infrastructure roles at mid-sized or scaling companies.

Strong data modeling and governance instincts focused on schema design, data quality, and data contracts.

Experience working within regulated environments such as HIPAA or SOC 2.

Familiarity with the Databricks ecosystem, including Unity Catalog, Delta Lake, and MLflow.

Experience leveraging AI-assisted development tools to multiply team and personal productivity.

Strong product and business awareness to prioritize technical work against real business problems.

Skills and Tools

Python

SQL

AWS

Spark

MLOps

Kafka

Flink

dbt

Databricks

Delta Lake

MLflow

Unity Catalog

Salary and Benefits

Annual salary range of $240,000 to $360,000 in USD.

Comprehensive medical, dental, and vision health coverage, including support for family planning, fertility, gender-affirming care, and travel reimbursements for unavailable healthcare.

Traditional or Roth 401(k) retirement plan options featuring a 2 percent company match.

Modern life stipends to manage ongoing learning and development.

Discounted company stock through an Employee Stock Purchase Plan (ESPP) with easy payroll deductions.

About the Company

Hinge Health utilizes technology to scale and automate healthcare delivery, focusing on musculoskeletal (MSK) conditions that impact over 1.7 billion people globally. The company provides an AI-powered, human-centered platform addressing acute injury, chronic pain, and post-surgical rehabilitation for over 20 million people. Headquartered in San Francisco with additional offices in Montreal and Bangalore, Hinge Health serves as a trusted partner to over 2,550 employers and 50 health plans and PBMs.

How to Apply

Interested candidates should visit the official Hinge Health careers page to submit an application and view further details about the opening.

Skills and tech stack

Python SQL AWS Spark MLOps Kafka dbt

Questions candidates ask

What is the salary range for this role?

The annual salary ranges from $240,000 to $360,000 USD.

Is this a remote or in-person position?

This is a hybrid role based out of the San Francisco office, requiring in-person attendance three days per week for a full 8-hour business day.

What experience level is required?

The role requires a minimum of 4+ years of hands-on data engineering experience, with 10+ years listed as a preferred qualification.

What technologies will I work with?

The modern technology stack includes Python, SQL, AWS, Spark, dbt, Kafka, Flink, and the Databricks ecosystem.

What benefits does Hinge Health offer?

Hinge Health provides comprehensive medical, dental, and vision coverage, 401(k) with a 2% company match, modern life stipends, and discounted company stock through an ESPP.

Ready to apply?

The application is on the official Hinge Health careers page.

Apply on company site