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Manager – Data Engineering
| Company | Garner Health |
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| Location | New York, NY, USA |
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| Salary | $220000 – $250000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of hands-on engineering experience, with a focus on big data and distributed systems.
- 3+ years experience as an engineering leader with a track record of translating ambiguous business requirements into scalable solutions and new product features
- Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc.
- Expertise with big data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda.
- Strong leadership skills with an ability to inspire, motivate, mentor, and retain top engineering talent
- Proven ability to influence without authority (e.g. driving process improvements, spearheading architecture enhancements, etc.)
- Familiarity with cloud infrastructure (e.g., AWS, GCP)
- Strong sense of ownership and proactive problem-solving mindset
- A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
- Experience working in a rapidly evolving startup environment
- A desire to be a part of our mission to improve the U.S. healthcare system.
Responsibilities
- Provide technical oversight and drive new features with a focus on Garner’s strategic mission
- Own and operate Garner’s core systems that generate provider rankings.
- Build a high-performance team by mentoring, providing feedback, and hiring.
- Continuously strive for quality while maintaining speed of delivery
- Balance between greenfield features and scaling existing systems
- Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
- Protect our users’ privacy and security through best practices.
Preferred Qualifications
- Familiarity with healthcare data standards (e.g. HIPAA, EDI) is highly desirable.
