Manager, Data Engineering at Garner Health

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

7+ years of hands-on engineering experience, with a focus on big data and distributed systems
3+ years experience as an engineering leader with a track record of translating ambiguous business requirements into scalable solutions and new product features
Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc
Expertise with big data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda
Strong leadership skills with an ability to inspire, motivate, mentor, and retain top engineering talent
Proven ability to influence without authority (e.g., driving process improvements, spearheading architecture enhancements, etc.)
Familiarity with cloud infrastructure (e.g., AWS, GCP)
Familiarity with healthcare data standards (e.g., HIPAA, EDI) is highly desirable
Strong sense of ownership and proactive problem-solving mindset
A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
Experience working in a rapidly evolving startup environment

Responsibilities

Provide technical oversight and drive new features with a focus on Garner’s strategic mission
Own and operate Garner’s core systems that generate provider rankings
Build a high-performance team by mentoring, providing feedback, and hiring
Continuously strive for quality while maintaining speed of delivery
Balance between greenfield features and scaling existing systems
Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
Protect our users’ privacy and security through best practices

Skills

Spark

Hadoop

EMR

Apache Iceberg

AWS Glue

Metaflow

DBT

Soda

Argo

AWS

GCP

HIPAA

EDI

Garner Health

Healthcare data platform improving patient outcomes

About Garner Health

Garner Health focuses on improving patient outcomes and reducing healthcare costs by utilizing a vast database of medical records. With over 60 billion records from 320 million patients, Garner identifies healthcare providers who are known for accurate diagnoses and better patient care. Individuals and families can use Garner's app and Concierge team to find in-network healthcare providers that are available and conveniently located. Additionally, Garner offers a reimbursement service that covers out-of-pocket medical expenses for visits to these top providers. For corporate clients, Garner provides a solution that enhances employee benefits and lowers costs without altering existing plans or networks. This approach allows companies to achieve savings and improve value-based care through data-driven insights. Garner's goal is to leverage its extensive claims database to deliver valuable services that enhance healthcare experiences for both individual and corporate clients.

New York City, New YorkHeadquarters

2019Year Founded

$59.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, HealthcareIndustries

201-500Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from similar healthcare data analytics companies threatens Garner's market share.

Stricter data privacy regulations may limit Garner's access to necessary datasets.

Direct-to-consumer healthcare apps could divert individual clients from Garner's employer-based solutions.

Differentiation

Garner Health leverages the largest claims database in the U.S. for accurate provider recommendations.

The company offers a unique reimbursement service for out-of-pocket medical costs.

Garner's non-disruptive corporate solutions enrich benefits without changing plans or networks.

Upsides

Increased telehealth adoption enhances Garner's platform for remote, high-quality care access.

The rise of personalized medicine aligns with Garner's data-driven provider identification approach.

Growing consumer-driven healthcare supports Garner's model of empowering individuals with data.

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