Staff Data Engineer

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’re looking for a Staff Data Engineer to lead the engineers on the Health Intelligence team in building robust, scalable data pipelines, tooling, and infrastructure. This role reports to the Manager, Data 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:

• Build and maintain high quality data systems that calculate Garner’s provider rankings
• Implement algorithms to improve the accuracy of our provider rankings data while lowering total associated costs and resource utilization
• Partner with engineers across Garner to define and implement coding standards, common libraries, and shared tooling
• Partner with Data Science, Researchers, and Product to convert ideas from research into reliable, performant production systems
• Drive the technical strategy in the team to ensure we are building maintainable, scalable, resilient software
• Help the team grow by mentoring junior members and raising the engineering bar

Technologies we use:

What you will bring to the team:

• 10+ years of experience, with the 3+ most recent years specifically in Data Engineering or distributed Software Engineering. 
• Must have a Computer Science degree or equivalent experience demonstrating CS fundamentals.
• Mastery of Python, as well as SQL for data extraction, transformation, and analysis.
• 3+ years of experience working in the cloud (AWS preferred).
• 3+ years of experience building ETL/ELT pipelines with tools like Apache Spark, Apache Beam, AWS Glue, etc.
• 2+ years managing pipeline workflows with tools such as Airflow, Argo, Prefect, etc.
• 2+ years of experience working with Apache Iceberg, AWS Lake Formation, Apache Hudi or equivalent.
• 2+ years of experience leveraging analytical solutions such as Snowflake, Redshift, BigQuery, or Trino for large-scale data processing and analytics.
• 2+ years of experience leading other Data Engineers on complex big data initiatives as the tech lead.
• Preferred experience working in an environment that required strict data privacy standards (e.g., GDPR, HIPAA) and security best practices.
• Preferred experience with Kubernetes
• Preferred experience with Tableau, Looker, or other data visualization and reporting solutions.
• 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- $260,000. This position is also bonus eligible. 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.