Data Analytics Engineer II at Garner Health

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
Expertise in SQL, familiarity with Python
Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Familiarity with distributed event-driven architectures. NATS experience is a plus
Familiarity with healthcare or insurance
Able to learn quickly and mentor others
Willing to work in the New York City office 3 days per week (Tuesday, Wednesday, and Thursday)

Responsibilities

Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices

Skills

Key technologies and capabilities for this role

PythonSQLAWSData PipelinesData WarehousingBig DataData Governance

Questions & Answers

Common questions about this position

What is the salary range for the Data Analytics Engineer II position?

The target salary range is $130,000-$150,000, with individual compensation depending on qualifications, skills, and applicable laws. This role is also eligible to participate in equity programs.

Is this role remote or office-based?

This role is based in the New York City office, and you must be willing to work in the office 3 days per week on Tuesday, Wednesday, and Thursday.

What skills and experience are required for this role?

You need 2+ years of software/data engineering experience, expertise in SQL and familiarity with Python, expertise in building scalable data pipelines, query optimization, data modeling, and experience with orchestration tools like Argo, databases like PostgreSQL, and data warehouses like Snowflake.

What is the company culture like at Garner Health?

Garner has a unique, award-winning culture recognized as a USA Today Top Workplace 2025, designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth.

What makes a strong candidate for this Data Analytics Engineer II role?

A strong candidate has a high sense of ownership, excitement about the mission, eagerness to learn and teach others, and the ability to deliver across the tech stack with experience in modern data stacks, Python, SQL, and AWS data pipelines.

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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