Senior Data Engineer — Remote Data Pipelines

Fuze Health Inc.; Butlerville (IN); A distancia; USD 140.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Dental

Vision

401(k)

Group life insurance

AD&D insurance

HSA

FSA

Descripción de la vacante

Fuze Health Inc. is seeking a Senior Data Engineer who will build and maintain data pipelines and platforms that empower operational teams and business stakeholders with timely insights.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code, implement ELT/ETL workflows, and ensure scalable data solutions across cloud environments (AWS, GCP, Azure). Experience with Python and SQL is required.

Formación

• Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science) is desirable.
• Experience with major cloud vendors: AWS, GCP, Azure.
• Experience with SQL-based and Python data manipulation with large datasets.
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming in Python.

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

Python

SQL

Data pipelines

ELT/ETL workflows

Cloud data platforms

Educación

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Herramientas

AWS

GCP

Azure

Terraform

Descripción del empleo

Fuze Health Inc. is seeking a Senior Data Engineer who will build and maintain data pipelines and platforms that empower operational teams and business stakeholders with timely insights.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code, implement ELT/ETL workflows, and ensure scalable data solutions across cloud environments (AWS, GCP, Azure). Experience with Python and SQL is required.