Data Engineer II

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.

We are looking for a Data Engineer II to support our technical teams by ensuring secure access to data within our organization. The ideal candidate for this role will have strong technical and stakeholder management skills, as well as the desire to be a hands-on contributor to building out an enterprise-grade data platform from the ground up.

This is a hybrid role and will require 3 days most weeks in Garner’s New York City office.

Responsibilities will include:

• Collaborate with senior engineers to build and support the data platform and pipelines that power our business

• Collaborate across disciplines to produce high-quality datasets and reports

• Partner with engineers across Garner to define and implement coding standards, common libraries, and shared tooling

• Partner with Data Science, Researchers, and Product Managers to convert ideas into reliable, performant production systems

• Protect our users’ privacy and security through best practice

Our Stack and Tooling:

AWS, Snowflake, Argo, dbt, Terraform, Airbyte, JetStream

Ideal candidate has:

• 2+ years of software engineering experience

• 2+ years of experience building data platforms and pipelines in a fast-paced environment

• 2+ years of experience with SQL 

• 1+ years of experience of observability tooling such as Cloudwatch, Datadog, Prometheus

• 1+ years of experience with container technologies such as Kubernetes, Docker

• Experience with data warehouse technologies such as Snowflake, RedShift, or DataBricks

• Experience building distributed systems and data processing environments

• Experience with orchestration technologies such as Argo, Airflow

• Conceptual thinking ability to understand and decompose abstract problems

• An aptitude to learn new technologies and tools quickly

What we look for at Garner:

• Mission First: Our mission is to transform our healthcare system, delivering high quality and affordable care to all. Everything else is secondary.

• Expect Extraordinary: Our mission is audacious, so we will only succeed by producing exceptional results. We continually push ourselves and each other to new heights and beyond our comfort zones.

• Courageous Communication: Transparency and candor are imperative to realizing our potential as an organization and as individuals—even when uncomfortable. Many companies talk about these values. We live them. 

• Supportive community: We know that people do their best work and learn the most when they feel genuinely supported and cared for. It’s also more fun that way. 

  
  

The target salary range for this position is: $120,000 - $160,000. Individual compensation for this role will depend on a variety of 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.

Equal Employment Opportunity:

Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.