Manager, Data Engineering

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we’ve developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career.

About the role:

We are looking for an Engineering Manager to join and lead the team responsible for the systems that generate Garner’s national healthcare provider rankings. The ideal candidate for this role should have a high sense of ownership, be comfortable mentoring engineers of all levels, have experience with distributed systems, and be able to reliably deliver complex technical solutions. This role reports to the VP of Health Intelligence Engineering.

Where you will work:

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

What you will do:

• 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

What you will bring to the team:

• 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)
• Familiarity with healthcare data standards (e.g. HIPAA, EDI) is highly desirable.
• 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

Compensation Transparency:

The target salary range for this position is: $220,000 - $250,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.