Senior Data Engineer — Remote ETL & Analytics Platform

Fuze Health Inc.; Georgia; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

Medical plans

401(k)

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Paid holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves our operations and business decisions.

You’ll work with Data Scientists and Analysts to transform data into meaningful insights and collaborate with DevOps to codify infrastructure. This role requires strong SQL and Python skills, experience with cloud platforms (AWS, GCP, Azure), ELT/ETL design, and building data pipelines, observability, and third‑party data integrations while keeping

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 cloud vendors: AWS, GCP, Azure.
• SQL-based and Python data manipulation with large datasets.
• Experience with AWS and Terraform.
• Experience in ELT/ETL workflows.
• Programming in Python.
• Visa sponsorship 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

Python programming

SQL

Data pipelines

ETL/ELT design

AWS

GCP

Azure

Terraform

Data analytics

Big data

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves our operations and business decisions.

You’ll work with Data Scientists and Analysts to transform data into meaningful insights and collaborate with DevOps to codify infrastructure. This role requires strong SQL and Python skills, experience with cloud platforms (AWS, GCP, Azure), ELT/ETL design, and building data pipelines, observability, and third‑party data integrations while keeping