Data Engineer III — AI-Driven Healthcare Pipelines

Garner Health, LLC; New York (NY); Híbrido; USD 166.000 - 205.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity incentive

Flexible PTO

Medical/Dental/Vision

Descripción de la vacante

Garner Health, LLC is seeking a Data Engineer III to join our Engineering team in New York City. The role requires hands-on work with a modern data stack, Python and SQL, and building scalable data pipelines.

You will be in the office three days per week (Tuesday, Wednesday, Thursday) and collaborate across Data Science, BI, and Marketing teams. You will design federated data validation and ensure data privacy while accelerating analytics, reporting, and trusted insights.

Formación

• 2+ years of software/data engineering experience with distributed data processing and data warehousing.
• Expertise in SQL and Python.
• Experience building scalable data pipelines and defining reusable datasets.
• Experience with orchestration tools (Airflow), data warehouses (Snowflake) and PostgreSQL.
• Familiarity with healthcare or insurance and HIPAA compliance.

Responsabilidades

• Build, optimize, and maintain data pipelines powering the business.
• Define and build out abstracted reusable datasets for BI, Marketing, and Data Science Research.
• Design and evangelize a federated data validation framework to monitor data inconsistencies.
• Protect users’ privacy and security through best practices.

Conocimientos

SQL

Python

Data pipelines

Data modeling

Airflow

PostgreSQL

Snowflake

Data governance

Data privacy

Herramientas

Airflow

PostgreSQL

Snowflake

AWS

Descripción del empleo

Garner Health, LLC is seeking a Data Engineer III to join our Engineering team in New York City. The role requires hands-on work with a modern data stack, Python and SQL, and building scalable data pipelines.

You will be in the office three days per week (Tuesday, Wednesday, Thursday) and collaborate across Data Science, BI, and Marketing teams. You will design federated data validation and ensure data privacy while accelerating analytics, reporting, and trusted insights.