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Data Engineering Manager, Data & ML Platform

Hinge HealthSan Francisco-HQRnD
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Salary
$220K - $330K USD
Job type
Full-time
Work mode
Remote
Posted
3 Jun 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Data Engineering Manager, Data & ML Platform role at Hinge Health involves leading the data and machine learning platform team in San Francisco. This position suits an experienced engineering leader with a background in data architecture who wants to drive streaming-first and ML-ready systems that power personalized musculoskeletal care for millions of members.

Key Responsibilities

Own and evolve the end-to-end data and machine learning platform strategy, spanning roadmap, architecture, and operational excellence across streaming, batch, and ML workloads.
Guide the data platform toward a streaming-first, ML-ready architecture to improve data freshness, consistency, and discoverability.
Design and deliver initial ML platform capabilities, including feature pipelines, feature stores, and model serving patterns.
Drive schema governance and data contracts with upstream service teams to standardize core data models and decrease fragmentation.
Partner closely with Data Science to operationalize production models from feature pipelines to serving, monitoring, and retraining.
Build, mentor, and retain a high-performing data engineering team while fostering strong execution and reliability habits.
Institutionalize operational rigor such as service-level objectives, incident management, and observability within a HIPAA and SOC 2 environment.

Requirements

Bachelor of Science degree in Computer Science, Engineering, or a related field.
A minimum of 2 years of hands-on data engineering experience building and operating production pipelines, platforms, and infrastructure at scale.
A minimum of 2 years of experience managing engineering teams with a track record of hiring, developing, and retaining talent.
Minimum of 2 years of experience building machine learning platform capabilities like feature stores or model serving in a production environment.
Practical experience building data platforms across batch and streaming systems using technologies like Kafka, Flink, or Spark.
Proficiency in a modern data stack including Python, SQL, Spark, dbt, Databricks, and AWS or comparable tools.

Nice to Have

Total of 5 years of experience managing engineering teams.
Experience standing up machine learning platform capabilities in a growth-stage or scaling environment from zero to one.
Background in regulated environments such as HIPAA or SOC 2.
Familiarity with the Databricks ecosystem including Delta Lake, MLflow, and Unity Catalog.

Skills and Tools

Python
SQL
AWS
Spark
Kafka
dbt
Databricks

Salary and Benefits

Annual salary range between $220,000 and $330,000 USD.
Comprehensive medical, dental, and vision coverage alongside gender-affirming care support, fertility planning tools, and travel reimbursements.
Traditional or Roth 401(k) retirement plan options featuring a 2 percent company match.
Modern life stipends to support ongoing learning and development.

About the Company

Hinge Health utilizes technology to scale and automate healthcare delivery, starting with musculoskeletal conditions impacting over 1.7 billion people globally. The AI-powered, human-centered platform addresses acute injuries, chronic pain, and post-surgical rehabilitation through evidence-based care. Serving over 20 million people across thousands of employers, Hinge Health is headquartered in San Francisco with additional offices in Montreal and Bangalore.

How to Apply

Interested candidates should submit their application directly on the official Hinge Health careers page.

Skills and tech stack

Questions candidates ask

What is the salary range for this role?

The annual salary ranges from $220,000 to $330,000 USD.

Where is the job located?

This position is based at the San Francisco headquarters with a hybrid work model requiring time in the office.

What experience is required for this management position?

Candidates must have a minimum of 2 years of experience managing engineering teams, plus at least 2 years of hands-on data engineering experience and 2 years of building machine learning platform capabilities.

What technical skills are needed?

Proficiency is required in Python, SQL, AWS, Spark, Kafka, and dbt, alongside experience with batch and streaming data platforms.

What benefits does Hinge Health offer?

Benefits include comprehensive medical, dental, and vision coverage, family and fertility planning tools, a 401(k) plan with a 2 percent company match, and modern life stipends.

Ready to apply?

The application is on the official Hinge Health careers page.

Apply on company site