Hinge Health

Staff Data Engineer - Data & ML Platform

San Francisco-HQ · Staff+

Sponsorship not specifiedDetected 62 days ago

PythonSQLPostgreSQLSnowflakeCI/CDSite Reliability EngineeringKafkaMachine LearningSparkAirflowdbtData EngineeringIncident ResponseComplianceDesign SystemsHIPAACommunicationMentoring

About the role

As a Staff Data Engineer, you will be a technical leader on the Data & ML Platform team, owning the architecture and reliability of the data infrastructure that powers real-time member experiences, analytics, and AI across Hinge Health.
You'll work in a modern stack: Python, SQL, Flink, PySpark, Kafka, Delta Lake, dbt, Airflow, Aurora PostgreSQL, and AWS.
This is a high-ownership role where you operate with significant autonomy.

Responsibilities

Lead the design of systems that span the full pipeline stack - raw ingestion, streaming and batch transformations, analytical models, and the serving layer that downstream consumers depend on.
Drive complex initiatives that span multiple teams and services.
Define data contracts with upstream producers, lead schema evolution strategies, and resolve systemic friction between data producers and consumers.
Own the reliability posture of the most critical data systems.
Define and drive SLAs and SLOs for key pipelines, lead incident response for complex data failures, and drive the systemic fixes - not just the immediate patches.
Build tooling and establish practices that enable service and application teams to effectively manage their data.
Coach teams on compliance strategies, performance tuning, event-driven design, and schema evolution so they can take ownership without creating bottlenecks on the data team.
Keep stakeholders informed and build a track record of delivering high-quality data assets that teams trust and depend on.

Requirements

Bachelor's Degree (or equivalent) in Computer Science, Engineering, or a related technical field.
A minimum of 4 + years of data engineering experience with a proven track record of building and operating reliable production data platforms at scale.
4+ years of strong proficiency in Python and SQL.
4+ years of experience with distributed data processing frameworks (e.g., PySpark, Flink, Spark) and data warehouse design including star and snowflake schemas.
3+ years of experience deploying and operating pipelines in the cloud, including CI/CD, monitoring, and incident response.
8+ years of data engineering experience with a proven track record of building and operating reliable production data platforms at scale.
You have deep experience with Kafka, Flink, or equivalent real-time systems and understand how streaming and batch paradigms converge in a modern data platform.

Nice to have

Data Platforms: 8+ years of data engineering experience with a proven track record of building and operating reliable production data platforms at scale.
You've driven improvements in how upstream services produce data and how downstream teams consume it.
Built in a growth-stage environment: Your strongest work was at a mid-sized or scaling company where you made foundational architectural decisions - not at a large tech company where the platform was already built.
Streaming and event-driven architecture expertise: You have deep experience with Kafka, Flink, or equivalent real-time systems and understand how streaming and batch paradigms converge in a modern data platform.
Mentorship: Experience mentoring engineers and setting engineering standards across a team.
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 make better architectural choices.
Physical demands are minimal and primarily involve standard office activities such as sitting, typing, and video conferencing.

Benefits

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

Company info

Set and enforce standards for data modeling, pipeline reliability, testing practices, code quality, and operational excellence.
Mentor senior engineers through design reviews, pairing, and technical coaching.
Influence how the team thinks about building systems, not just what they build.
Your strongest work was at a mid-sized or scaling company where you made foundational architectural decisions - not at a large tech company where the platform was already built.

Equal opportunity

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.

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