Manager, Engineering

Über das Unternehmen

Garnerhealth

Deine Aufgaben

• We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth.

  Where you will work:

  This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

  What you will do:

  • Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that proceß complex healthcare data
  • Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, proceßing, and system maintainability
  • Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth
  • Translate complex, ambiguous busineß and data requirements into well-scoped, accurately estimated, and composable architectural pieces
  • Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
  • Manage and grow stakeholder relationships acroß Engineering and Product, aligning team priorities with departmental OKRs and broader busineß goals
  • Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor

  The ideal candidate has:

  • 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
  • 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
  • Expertise with batch data proceßing frameworks such as Hadoop, Spark, EMR, etc. 
  • Experience with stream proceßing systems such as Kafka and RedPanda
  • Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
  • Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex busineß needs into scalable, actionable technical roadmaps
  • Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational succeß
  • Preference for managing healthcare data standards (e.g. HIPAA, EDI)
  • A desire to be a part of our mißion to improve the U.S. healthcare system
  • A desire to be a part of a high-performing, mißion-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

  Technologies we use: 

  • Pyth