Manager, Engineering (Data Platform)

Reposted 15 Days Ago
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New York, NY, USA
In-Office
239K-275K Annually
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Garner uses data science to steer employees to the best-performing doctors.
The Role
Manage the Data Platform Team, focusing on high-throughput data infrastructure and AI-native development. Oversee data processing systems, mentor engineers, and align team goals with business objectives.
Summary Generated by Built In
What you’ll be part of

Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.

The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.

About the role:

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.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:
  • 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
The ideal candidate has:
  • 5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure
  • 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams
  • Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. 
  • Experience with stream processing systems such as Kafka and RedPanda
  • Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda
  • Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
  • Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
  • Preference for managing healthcare data standards (e.g. HIPAA, EDI)
  • A desire to be a part of our mission to improve the U.S. healthcare system
  • 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.

What you'll get here:

You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.

At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. 

Compensation Transparency:

The target salary range for this position is $310,000 - $385,000. 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 email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [email protected].

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.

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]

Skills Required

  • 5+ years of hands-on engineering experience, focusing on Big Data and distributed systems
  • 2+ years of managing engineering teams
  • Expertise with batch data processing frameworks such as Hadoop, Spark, EMR
  • Experience with stream processing systems such as Kafka and RedPanda
  • Proficiency with technologies such as Temporal, Apache Iceberg, AWS Glue, Spark, DBT, and Soda
  • Preference for managing healthcare data standards (e.g., HIPAA, EDI)

What the Team is Saying

Pedro
Joanna
Megan
James
Bhavya
Chris

Garner Health Compensation & Benefits Highlights

  • Healthcare Strength Employees enrolled in a Garner medical plan can use the “Garner for Garner” benefit to receive reimbursements toward eligible out‑of‑pocket expenses when using Top Providers, with caps listed as up to $4,000 for individuals and $8,000 for families. Company materials present this as enabling near‑zero out‑of‑pocket costs for many situations alongside comprehensive medical/dental/vision coverage.
  • Leave & Time Off Breadth Company materials outline flexible PTO for salaried staff and a fully paid six‑week sabbatical after five years. These time‑away benefits are highlighted as unusual for a company of this size.
  • Parental & Family Support Materials specify 12 weeks of paid parental leave for all paths to parenthood. Family medical leave support is also included as part of the core package.

Garner Health Insights

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The Company
350 Employees
Year Founded: 2019

What We Do

Garner Health is a health tech startup that is transforming the healthcare economy by enabling patients to receive high-quality and affordable care. Garner Health has two core offerings: Garner, a benefit program that uses a new approach to data science and incentive accounts to help employees find the best doctors in their communities, and Garner DataPro, a provider recommendation platform that serves referrals based on the most accurate provider performance and directory data in the industry. Garner Health’s offerings utilize over 75% of the medical claims data in the United States to objectively examine patient outcomes based on more than 500 specialty-specific quality and efficiency measures. By analyzing millions of healthcare journeys across 82 distinct medical specialties, Garner Health sets a new industry standard in delivering reliable, actionable referrals and navigating patients to the highest-quality providers. Garner Health is a remote-first company based in NYC.

Why Work With Us

Our values connect us in caring deeply about doing something different and hard — transforming the healthcare economy. They create an actionable set of norms for how we operate, including how we make decisions and support one another. Learn about our values here: https://www.getgarner.com/about.

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Garner Health Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
US
New York, NY
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