Senior Data Engineer - Scalable Healthcare Data Platform

Fuze Health; Columbia (SC); Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Dental plan

Vision plan

401(k)

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD

Parental leave

Lifestyle Spending Account

Job summary

Fuze Health in Columbia, SC seeks a Senior Data Engineer to build and maintain a data platform that serves operational teams and business stakeholders. You will collaborate with data scientists and analysts to transform data into actionable insights and scale infrastructure with DevOps.

The role emphasizes designing ELT/ETL workflows, data observability, and metadata-driven solutions using AWS/GCP/Azure and Python. Strong SQL skills are required and visa sponsorship is not available.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• At least 4 years of work experience in software engineering.
• Experience with AWS, GCP, or Azure.
• SQL-based and Python data manipulation with large datasets.
• 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.
• Cannot sponsor 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

SQL

Python

AWS

GCP

Azure

Terraform

ELT/ETL

Data pipelines

Education

Bachelor's degree

Master's degree

Tools

Terraform

Job description

Fuze Health in Columbia, SC seeks a Senior Data Engineer to build and maintain a data platform that serves operational teams and business stakeholders. You will collaborate with data scientists and analysts to transform data into actionable insights and scale infrastructure with DevOps.

The role emphasizes designing ELT/ETL workflows, data observability, and metadata-driven solutions using AWS/GCP/Azure and Python. Strong SQL skills are required and visa sponsorship is not available.