Remote Senior Data Engineer - ELT/ETL & Observability

Fuze Health Inc.; Honolulu (HI); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement plan

Paid holidays

Parental leave

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves operational and business insights. You will partner with Data Scientists, Data Analysts, and DevOps to transform data and scale infrastructure.

The role emphasizes deploying data pipelines, observability, metadata-driven workflows, and integration with external data sources. Applicants should have a strong SQL/Python background and cloud experience.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
• Experience with one or more major cloud vendors: AWS, GCP, Azure.
• Experience with infrastructure as code tools and methodologies.
• SQL-based and Python data manipulation with large datasets.

Responsibilities

• Build and maintain the data platform to deliver timely, accurate data for operations and decision-makers.
• Collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and scale platforms.
• Deploy new data pipelines and ELT/ETL workflows as needed.
• Design and build data observability platforms and metrics.
• Create metadata-driven pipeline solutions and monitor data transformations.
• Build third-party data integrations.

Skills

SQL

Python

Data pipelines

Data analysis

Cloud platforms

Education

Bachelor's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves operational and business insights. You will partner with Data Scientists, Data Analysts, and DevOps to transform data and scale infrastructure.

The role emphasizes deploying data pipelines, observability, metadata-driven workflows, and integration with external data sources. Applicants should have a strong SQL/Python background and cloud experience.