Senior Data Engineer – Build Scalable Pipelines

Fuze Health Inc.; Lansing (MI); Presencial; USD 140.000 - 175.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Dental & Vision

Medical plans

401(k) plan

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Disability insurance

Parental leave

Vacation time

Paid sick time

Holidays

Floating holidays

Lifestyle Spending Account

Descripción de la vacante

Fuze Health in the United States is seeking a Senior Data Engineer to build and maintain a data platform used by operations and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data, ensure scalability, and codify infrastructure as code.

You will deploy pipelines, monitor transformations, and integrate third party data sources to deliver timely, accurate insights across the organization.

Formación

• Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science
• At least 4 years of work experience in software engineering
• Experience with one or more of the major cloud vendors: AWS, GCP, Azure
• Experience with infrastructure as code tools and methodologies
• Experienced in SQL-based and python data manipulation with large datasets

Responsabilidades

• Deploy new data pipelines
• Design and build data observability platforms and metrics
• Build metadata driven pipeline solutions
• Monitor and optimize data transformations
• Build third party data integrations

Conocimientos

SQL

Python

Data pipelines

Data observability

Educación

Bachelor's Degree in quantitative field

Herramientas

AWS

GCP

Azure

Terraform

Descripción del empleo

Fuze Health in the United States is seeking a Senior Data Engineer to build and maintain a data platform used by operations and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data, ensure scalability, and codify infrastructure as code.

You will deploy pipelines, monitor transformations, and integrate third party data sources to deliver timely, accurate insights across the organization.