Garner Health Technology, Inc.
Senior Data Engineer New York City, New York
Garner Health Technology, Inc., New York, New York, us, 10261
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 market adoption 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 award-winning culture (e.g., USA Today Top Workplaces 2025) designed to foster teamwork, trust, autonomy, results, and individual growth, creating a career inflection point.
About the role:
We are seeking a Senior Data Engineer with a strong sense of ownership, passionate about our mission, eager to learn and teach, and capable of delivering across the tech stack. The ideal candidate has experience with a modern data stack and implementing data pipelines using Python in AWS. Where you will work:
This position is based in our New York City office. You must be willing to work in-office 3 days per week on Tuesday, Wednesday, and Thursday. What you will do:
Build, optimize, and maintain data pipelines supporting our business operations Define and develop reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Design and promote a federated data validation framework to monitor data inconsistencies Ensure user privacy and security through best practices Technologies we use:
What you will bring to the team:
5+ years of experience in software/data engineering, including distributed processing, data warehousing, governance, Big Data, data privacy, and quality Proficiency in SQL and familiarity with Python Experience building scalable data pipelines, query optimization, PostgreSQL tuning (a plus), data modeling, and reusable datasets Experience with orchestration tools (especially Argo), databases (especially PostgreSQL), and data warehouses (especially Snowflake) Familiarity with distributed event-driven architectures; NATS experience is a plus Knowledge of healthcare or insurance sectors Ability to learn quickly and mentor others Compensation Transparency:
The target salary range is $160,000 to $200,000 annually, based on qualifications and skills. The role also offers equity incentives and benefits such as flexible PTO, Medical/Dental/Vision plans, 401(k), Teladoc Health, and more. Fraud and Security Notice:
Be aware of recent job scams. Our recruiters use getgarner.com email addresses exclusively. Report suspicious contacts to law enforcement and candidateprotection@getgarner.com. Equal Employment Opportunity:
Garner Health is an Equal Opportunity Employer committed to diversity. We do not discriminate based on race, religion, gender, age, disability, or other protected characteristics. We provide accommodations for individuals with disabilities during the recruiting process. Contact us at talent@getgarner.com for assistance. Apply for this job
* indicates required fields First Name * Last Name * Preferred First Name Email * Phone * Resume/CV * LinkedIn Profile * Desired Salary * Legal work authorization in the US? * Require sponsorship now or in future? * Willing to work in NYC 3 days/week? * Current state of residence *
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We are seeking a Senior Data Engineer with a strong sense of ownership, passionate about our mission, eager to learn and teach, and capable of delivering across the tech stack. The ideal candidate has experience with a modern data stack and implementing data pipelines using Python in AWS. Where you will work:
This position is based in our New York City office. You must be willing to work in-office 3 days per week on Tuesday, Wednesday, and Thursday. What you will do:
Build, optimize, and maintain data pipelines supporting our business operations Define and develop reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Design and promote a federated data validation framework to monitor data inconsistencies Ensure user privacy and security through best practices Technologies we use:
What you will bring to the team:
5+ years of experience in software/data engineering, including distributed processing, data warehousing, governance, Big Data, data privacy, and quality Proficiency in SQL and familiarity with Python Experience building scalable data pipelines, query optimization, PostgreSQL tuning (a plus), data modeling, and reusable datasets Experience with orchestration tools (especially Argo), databases (especially PostgreSQL), and data warehouses (especially Snowflake) Familiarity with distributed event-driven architectures; NATS experience is a plus Knowledge of healthcare or insurance sectors Ability to learn quickly and mentor others Compensation Transparency:
The target salary range is $160,000 to $200,000 annually, based on qualifications and skills. The role also offers equity incentives and benefits such as flexible PTO, Medical/Dental/Vision plans, 401(k), Teladoc Health, and more. Fraud and Security Notice:
Be aware of recent job scams. Our recruiters use getgarner.com email addresses exclusively. Report suspicious contacts to law enforcement and candidateprotection@getgarner.com. Equal Employment Opportunity:
Garner Health is an Equal Opportunity Employer committed to diversity. We do not discriminate based on race, religion, gender, age, disability, or other protected characteristics. We provide accommodations for individuals with disabilities during the recruiting process. Contact us at talent@getgarner.com for assistance. Apply for this job
* indicates required fields First Name * Last Name * Preferred First Name Email * Phone * Resume/CV * LinkedIn Profile * Desired Salary * Legal work authorization in the US? * Require sponsorship now or in future? * Willing to work in NYC 3 days/week? * Current state of residence *
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