Senior Data Engineer, ETL & Pipelines - Remote

Fuze Health Inc.; East Honolulu (HI); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401(k) plans

Group life

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD

Supplemental insurance

Flexible vacation

Sick time

Paid holidays

Floating holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform supporting operations and business insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable information and codify infrastructure as code.

Ideal candidates have a strong background in Python, SQL, ELT/ETL workflows, and cloud tech (AWS/GCP/Azure). This role emphasizes data reliability, observability, and cross-functional collaboration.

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 (Statistics, Economics, Engineering, Mathematics, or Data Science)
• Experience with AWS and Terraform
• Experience in designing ELT/ETL workflows
• Programming experience in Python
• At this time, Fuze Health is unable to sponsor or take over sponsorship of an employment Visa.

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 manipulation

ELT/ETL design

Data pipelines

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform supporting operations and business insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable information and codify infrastructure as code.

Ideal candidates have a strong background in Python, SQL, ELT/ETL workflows, and cloud tech (AWS/GCP/Azure). This role emphasizes data reliability, observability, and cross-functional collaboration.