Engineering Manager (Data Platform)

Garner Health; New York (NY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible PTO

Hybrid and remote work

401(k) with 2% company match

Parental leave (12 weeks)

Mortgage assistance

Job summary

Garner Health seeks a Data Engineering Manager to lead the Data Platform Team in building scalable data infrastructure for internal and external apps. You will set standards for data modeling, processing, and system reliability while championing AI-native development and fast, safe delivery.

The role requires guiding architecture, mentoring engineers, and aligning work with company OKRs to improve healthcare data outcomes. Hybrid/remote options available.

Qualifications

• 5+ years hands-on engineering in Big Data and distributed systems.
• 2+ years leading engineering teams and mentoring colleagues.
• Experience with healthcare data standards (HIPAA, EDI) preferred.
• Proficiency with modern data tooling and cloud platforms.

Responsibilities

• Lead Data Platform Engineering team, end-to-end design and ops.
• Set data modeling, processing, and maintainability standards.
• Build scalable data abstractions and pipelines.
• Translate business data needs into architectural plans.
• Foster AI-native practices and tool integrations.

Skills

Data platform design

Mentoring

Stakeholder management

AI-native development

Tools

Python

Spark

dbt

Snowflake

Iceberg

Airflow

OpenMetadata

Kubernetes

NATS

AWS

Terraform

Claude Code

Job description

• 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
• Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces
• Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations
• Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals
• Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor
• Technologies we use:
• Python, Spark, dbt, SnowFlake, Iceberg, Airflow, OpenMetadata, Kubernetes, NATS, AWS, Terraform, Claude Code

Benefits

• Flexible PTO
• Garner for Garner (employees enrolled in a Garner medical plan gain access to the Garner benefit to find Top Providers and get reimbursed for eligible expenses)
• Hybrid and remote work
• Team meets twice each year to spark innovation and foster belonging
• Variety of social programs beyond work hours
• Equal paid parental leave (12 weeks) following the birth, adoption or placement of a child
• 401(k) plan with a 2% company match and immediate vesting
• Other financial benefits such as Flexible Spending Accounts and mortgage assistance

5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructurePreference for managing healthcare data standards (e.g. HIPAA, EDI)Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda2+ years of managing engineering teams, with a track record of building and mentoring high performing teamsExhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmapsDemonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational successA 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 feedbackExperience with stream processing systems such as Kafka and RedPandaExpertise with batch data processing frameworks such as Hadoop, Spark, EMR, etcA desire to be a part of our mission to improve the U.S. healthcare system