Data Platform Engineering Manager - AI-Driven Scale

Garner Health; New York (NY); Hybrid; USD 310,000 - 385,000; Full time

Benefits offered by this job

Flexible PTO

Medical/Dental/Vision plan options

401(k)

Equity incentive

Job summary

Garner Health is looking for a Data Engineering Manager to lead our Data Platform Team in New York City. This role is paramount to championing an AI-native development philosophy while managing a team of skilled engineers tasked with building scalable data infrastructure.

The ideal candidate will have extensive experience in big data engineering, team management, and a commitment to improving the healthcare system. Compensation ranges from $310,000 to $385,000.

Qualifications

• 5+ years of hands-on engineering experience.
• 2+ years of managing engineering teams.
• Proficiency with multiple data processing technologies.

Responsibilities

• Lead and manage the Data Platform Engineering team.
• Provide architectural guidance and high-quality technical contributions.
• Build and optimize data abstractions, pipelines, and frameworks.

Skills

Big Data and distributed systems

Batch data processing frameworks (Hadoop, Spark)

Stream processing systems (Kafka, RedPanda)

Python

Understanding of HIPAA and EDI standards

Tools

AWS

Terraform

Kubernetes

SnowFlake

Apache Iceberg

Job description

Garner Health is looking for a Data Engineering Manager to lead our Data Platform Team in New York City. This role is paramount to championing an AI-native development philosophy while managing a team of skilled engineers tasked with building scalable data infrastructure.

The ideal candidate will have extensive experience in big data engineering, team management, and a commitment to improving the healthcare system. Compensation ranges from $310,000 to $385,000.