garnerhealth

Manager, Engineering (Data Platform)

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At a Glance

Location
New York City, New York, United States
Experience
5+ years
Compensation
ry range for this position is $239,000 - $275,000. Individual compensation for
Posted
2026-05-20T16:27:54-04:00

Key Requirements

Required Skills

AWSData EngineeringKafkaKubernetesPythonSnowflakeTerraform

Domain Knowledge

  • Engineering
  • Finance
  • Healthcare
  • Medical

Compensation & Benefits

The target salary range for this position is $239,000 - $275,000. 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.

Fraud and Security Notice:

Please be aware of recent job scam attempts. Our recruiters use

getgarner.com

and

garnerhealth.com

Responsibilities

We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team.

In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications.

You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth.

Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data

Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability

Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth

About the Company

A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use:

Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.