Senior Data Engineer (Remote) - ETL & Data Platform

Fuze Health Inc.; Oklahoma City (OK); On-site; USD 110,000 - 165,000; Full time

Benefits offered by this job

Dental

Vision

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

Paid time off

Paid holidays

Paid parental leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a robust data platform that supports operations and strategic decision making.

You will collaborate with Data Scientists, Data Analysts, and DevOps to ensure scalable, observable data pipelines and infrastructure as code. You will design ELT/ETL workflows, implement Python-based data manipulation, and work with AWS, GCP, or Azure to keep data reliable and accessible for multiple stakeholders.

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.
• Experience with one or more of the major cloud vendors: AWS, GCP, Azure.
• Experienced in SQL-based and Python data manipulation with large datasets.
• Master's Degree in a quantitative field.
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming experience in Python.
• No visa sponsorship available 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

ETL design

Data modeling

Cloud platforms

Terraform

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a robust data platform that supports operations and strategic decision making.

You will collaborate with Data Scientists, Data Analysts, and DevOps to ensure scalable, observable data pipelines and infrastructure as code. You will design ELT/ETL workflows, implement Python-based data manipulation, and work with AWS, GCP, or Azure to keep data reliable and accessible for multiple stakeholders.