Senior Data Engineer — Remote, Cloud & ETL

Fuze Health Inc.; Honolulu (HI); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Dental, vision, and multiple medical"

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Paid holidays

Parental leave

Job summary

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain a data platform delivering timely, accurate data for operations and business stakeholders. You will work with Data Scientists, Data Analysts, and DevOps to transform data and codify infrastructure as code for scalable operations.

The role emphasizes deployable pipelines, observability, and external data integrations. Bachelor's and a Master’s in quantitative fields are preferred, with 4+ years in software engineering and

Qualifications

• 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.
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming experience in Python.
• Note: Visa sponsorship is not available.

Responsibilities

• 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.

Skills

SQL

Python

Data pipelines

Data observability

ETL/ELT

Cloud platforms

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Terraform

AWS

GCP

Azure

Job description

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain a data platform delivering timely, accurate data for operations and business stakeholders. You will work with Data Scientists, Data Analysts, and DevOps to transform data and codify infrastructure as code for scalable operations.

The role emphasizes deployable pipelines, observability, and external data integrations. Bachelor's and a Master’s in quantitative fields are preferred, with 4+ years in software engineering and