Data Engineer, Garner Health

$120-160k

+ Equity

SQL

AWS

Docker

Kubernetes

Python

Airflow

Terraform

Redshift

Prometheus

Snowflake

dbt

Datadog

Junior and Mid level

Remote from US

More information about location

Data-powered doctor search tool

Be an early applicant

Data-powered doctor search tool

101-200 employees

HealthcareB2CB2BMarketplaceBig dataData SharingMedTech

Be an early applicant

$120-160k

+ Equity

SQL

AWS

Docker

Kubernetes

Python

Airflow

Terraform

Redshift

Prometheus

Snowflake

dbt

Datadog

Junior and Mid level

Remote from US

More information about location

101-200 employees

HealthcareB2CB2BMarketplaceBig dataData SharingMedTech

Company mission

To transform the healthcare economy, delivering high quality and affordable care for all.

Job

Company

Role

Who you are

The ideal candidate for this role will have strong technical and stakeholder management skills, as well as the desire to be a hands-on contributor to building out an enterprise-grade data platform from the ground up
2+ years of software engineering experience (Python preferred)
2+ years of experience building data platforms and pipelines in a fast-paced environment
2+ years of experience with SQL
1+ years of experience of observability tooling such as Cloudwatch, Datadog, Prometheus
1+ years of experience with container technologies such as Kubernetes, Docker
Experience with data warehouse technologies such as Snowflake, RedShift, or DataBricks
Experience building distributed systems and data processing environments
Experience with orchestration technologies such as Argo, Airflow
Conceptual thinking ability to understand and decompose abstract problems
An aptitude to learn new technologies and tools quickly

What the job involves

We are looking for a Data Engineer to support our technical teams by ensuring secure access to data within our organization
Collaborate with senior engineers to build and support the data platform and pipelines that power our business
Collaborate across disciplines to produce high-quality datasets and reports
Partner with engineers across Garner to define and implement coding standards, common libraries, and shared tooling
Partner with Data Science, Researchers, and Product Managers to convert ideas into reliable, performant production systems
Protect our users’ privacy and security through best practices

Our take

An overworked US healthcare system has resulted in long waits and expensive prices. Due to rising costs, the health insurance industry often leads to patients not accessing the care that they need. Garner Health creates digital services that allow patients to find a medical expert that fits their specific needs, whatever their insurance circumstances are.

The startup provides an app that analyses local health-insurance claims history through AI. This data is used to recommend local medical professionals that will work with a patient's circumstances whilst providing direct communication channels for liaising. This helps patients to identify the highest-quality doctors and helps doctors improve how they practice medicine.

Despite other companies providing similar bespoke healthcare services, Garner Health shows a cutting edge by partnering with patient employers. This provides the financial incentive that employers must cover all or a portion of medical expenses, making healthcare financially accessible for all involved. The company has good funding at its back, and in 2022 partnered with Marathon Health towards reducing the inefficiencies of specialty referrals.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

142% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 3 rounds)

Dec 2021

$45m

SERIES B

Feb 2021

$12.5m

SERIES A

Total funding: $61.3m

Company HQ

Flatiron District, New York, NY

Leadership

Nick Reber

(CEO)

They studied Mathematics at Brown before joining Bridgewater Associates as a Senior Investment Associate in 2006. Left Bridgewater in 2016 to join Oscar Health's Leadership Team. Founded Garner in 2018.

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