Senior Data Engineer - Remote Healthcare Data Platform

Fuze Health Inc.; Nevada; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Dental

Vision

401(k)

Life insurance

HSA

Commuter benefits

Flexible vacation

Paid holidays

Parental leave

Job summary

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain the platform delivering timely data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to enable scalable, code-driven infrastructure and data pipelines.

You will design observability, manage ELT/ETL workflows, and implement metadata-driven solutions while advancing data quality and accessibility for partners across healthcare domains.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, Data Science).
• At least 4 years of experience in software engineering.
• Experience with one or more cloud vendors: AWS, GCP, Azure.
• Experience with SQL-based and Python data manipulation with large datasets.
• Master's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, Data Science).
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming experience in Python.
• Cannot sponsor employment visas at this time.

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

Python

SQL

Data pipelines

ELT/ETL design

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

AWS

Terraform

Job description

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain the platform delivering timely data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to enable scalable, code-driven infrastructure and data pipelines.

You will design observability, manage ELT/ETL workflows, and implement metadata-driven solutions while advancing data quality and accessibility for partners across healthcare domains.