Senior Data Engineer (ETL) – Remote Data Platform Lead

Fuze Health Inc.; Eagle (ID); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Dental

Vision

401(k) retirement plan

Group life insurance

AD&D insurance

FSA/HSA

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain the platform delivering timely data to operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems.

You will design ELT/ETL workflows, deploy new pipelines, and ensure data quality across large datasets using Python and SQL in a cloud environment (AWS/GCP/Azure).

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.
• 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

Quant deg

Software engineering

Cloud platforms

SQL & Python

Terraform

ELT/ETL design

Python programming

Visa status

Education

Bachelor's degree

Master's degree

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain the platform delivering timely data to operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems.

You will design ELT/ETL workflows, deploy new pipelines, and ensure data quality across large datasets using Python and SQL in a cloud environment (AWS/GCP/Azure).