Senior Data Engineer - Remote Data Pipelines Observability

Fuze Health Inc.; Charlotte (NC); Presencial; USD 140.000 - 175.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Dental, vision, and group medical

401(k) retirement savings plan

Life insurance

AD&D insurance

FSA and HSA

Commuter benefits

Parental leave & caregiver leave

Descripción de la vacante

Fuze Health Inc. is hiring a Senior Data Engineer to build and maintain the data platform powering operational analytics. You will work with data scientists, analysts, and DevOps to transform data into actionable insights.

The role focuses on deploying data pipelines, observability, and metadata-driven solutions, with opportunities to build third-party data integrations and scale the data platform.

Formación

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, Data Science).
• At least 4 years of software engineering experience.
• Experience with AWS, GCP or Azure cloud providers.
• Experience with infrastructure as code tools and methodologies.
• SQL-based data manipulation with large datasets.

Responsabilidades

• Build and maintain data pipelines and platforms for timely data delivery.
• Design data observability platforms and metrics.
• Develop metadata-driven pipeline solutions.
• Monitor and optimize data transformations.
• Build integrations with third-party data sources.

Conocimientos

SQL

Python

Data manipulation

Data pipelines

ETL/ELT design

Cloud platforms

Educación

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Herramientas

Terraform

Snowflake

AWS

GCP

Azure

Descripción del empleo

Fuze Health Inc. is hiring a Senior Data Engineer to build and maintain the data platform powering operational analytics. You will work with data scientists, analysts, and DevOps to transform data into actionable insights.

The role focuses on deploying data pipelines, observability, and metadata-driven solutions, with opportunities to build third-party data integrations and scale the data platform.