Senior Engineering Manager, Data Verticals

Hinge Health • San Francisco, CA

10d • Hybrid

About The Position

Join the team transforming how we use data to move millions of people beyond pain. As the Senior Data Engineering Manager for Data and Insights, you will not just lead a team—you will own the strategic data foundation that powers Hinge Health’s R&D, Product, and Data Science initiatives.
In this high-impact role, you will navigate complex healthcare data landscapes to architect scalable solutions that drive product innovation and operational excellence. You will operate with a high degree of independence, guiding expert engineers through ambiguity to deliver 99.9% data reliability and HIPAA-compliant governance. If you are a strategic leader capable of piloting technical expeditions through "unexpected snowstorms" and translating business goals into robust technical execution, this is your opportunity to shape the future of digital MSK care.

Requirements

• Bachelor’s degree in Computer Science or related field, or equivalent professional experience.
• 10+ years of experience in data engineering or software development.
• 5+ years of experience in technical leadership, with a proven track record of managing high-performing engineering teams and potentially other managers.
• Strategic Architecture: Deep expertise in designing large-scale data ecosystems, data warehouses, and dimensional models (dbt) that support business-critical operations.
• Technical Mastery: Proficiency with SQL and at least one programming language (e.g., Python, Scala, Java) to guide technical decision-making.
• Cloud & Compliance: Extensive experience with cloud-based data technologies (AWS, Databricks, GCP) and navigating highly regulated environments (healthcare, fintech, etc.).

Nice To Haves

• Experience managing managers or leading multiple squads/pods.
• Experience with data orchestration tools (Airflow, Prefect, or Dagster) and containerization technologies (Docker, Kubernetes).
• Experience with streaming pipelines and technologies such as Kafka or Kinesis.
• Deep understanding of data governance, HIPAA, and data quality best practices.
• Experience leveraging AI/LLMs for ELT development and analytics optimization.

Responsibilities

• Take command of the Data Engineering Verticals Roadmap, establishing operational objectives that align technical execution with high-level business goals for Data Science and Product Growth.
• Audit current architecture and set the strategic direction for critical scaling milestones.
• Build and scale a high-performing engineering organization, hiring key talent and establishing career pathways that grow future leaders.
• Drive the delivery of complex vertical solutions, meeting all critical scaling milestones with autonomy.
• Oversee the architectural evolution of our data ecosystem, implementing advanced ETL/ELT processes that achieve 99.9% data availability and reliability for downstream teams.
• Institutionalize robust data governance and security frameworks—including HIPAA compliance—that serve as company-wide standards for quality and risk reduction.
• Spearhead our AI/LLM data strategy, architecting data marts that position Hinge Health for the next generation of AI-driven analytics.

Benefits

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
• 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 budget and take advantage of mental health and lifestyle stipends.
• Grow with us: Become a shareholder through discounted company stock with our Employee Stock Purchase Plan (ESPP).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level