The Opportunity

Join the team that powers the engine of Hinge Health’s clinical and operational decision-making. As a Data Engineer II, you will build the scalable data foundations that allow us to deliver personalized MSK care to over 20 million members. You won't just move data; you will design the self-service tooling and secure governance frameworks (HIPAA, HITRUST) that empower our data scientists and application engineers to work independently. In this role, you will help us transform petabytes of complex healthcare data into real-time insights that directly improve member outcomes.

What You'll Accomplish

• In your first 3 months: You will dive deep into our modern data stack (Python, dbt, Airflow, Tonic.ai) to audit existing pipelines. You will partner with SREs to establish baseline monitoring and alerting, ensuring we catch data quality issues before they impact our members.

• In your first 6 months: You will translate complex business requirements into technical specifications, building robust ETL/ELT pipelines for both real-time and batch processing. You will enable business stakeholders to access and analyze 1st and 3rd party data independently.

• In your first year: You will act as a subject matter expert, "architecting" resilient data frameworks and creating automated compliance strategies for HIPAA and GDPR. You will coach service teams on data ownership, helping them optimize their own pipeline performance.

Who You Are

• A "Learn-it-all": You stay ahead of the curve on data engineering trends (like Data Lakehouse architectures or synthetic data with Tonic.ai) and constantly look for ways to automate the mundane.

• A Trust Builder: You bridge the gap between technical complexity and business needs, communicating clearly with non-technical stakeholders and collaborating effectively with SRE and Product teams.

• Resilient: You thrive in a high-growth environment where data volume scales rapidly. You view "poorly performing pipelines" not as a nuisance, but as an opportunity to engineer better solutions.

Basic Qualifications

• 2+ years of data engineering experience, with a Bachelor’s Degree in Computer Science or a related field.

• Distributed Systems Proficiency: Experience processing and storing large-scale data (PostgreSQL, MySQL, MongoDB, Redis, Databricks, Snowflake, Redshift).

• Pipeline Builder: 1+ years of experience building pipelines using Spark, Kafka, and Airflow.

• Modeling Expertise: 1+ years of experience designing data warehouse models (Star, Snowflake) and developing ELT/ETL pipelines.

• Modern Stack Experience: 1+ year working with dbt.

Preferred Qualifications

• Strong proficiency in SQL and Python.

• Experience with Tonic.ai or similar synthetic data/privacy tools.

• Excellent communication skills for translating technical problems to non-technical stakeholders.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care.

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. Learn more at http://www.hingehealth.com/

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days/week.

This is a Bengaluru-based role that involves regular interaction and collaboration with Hinge Health colleagues in San Francisco, CA. Time zones: San Francisco is the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time – for example, 8AM in San Francisco is 8:30 PM in Bengaluru. Standard working hours in San Francisco are between 8AM and 6PM. For this role, applicants should be open to meetings in the late evening following India Standard Time.

What You'll Love About Us

• Inclusive healthcare and benefits: In addition to comprehensive medical, dental, and vision coverage, we provide employees and their family members with Group Medical Coverage (GMC), Group Term Life Insurance (GTL), and Group Personal Accident Insurance (GPA).

• Well-being & Growth: We offer a lifestyle stipend to support your overall well-being, along with learning and development opportunities to help you grow both personally and professionally.

• Ownership: Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law.

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