Senior Data Engineer - Remote, Scalable Pipelines

Fuze Health Inc.; New Hampshire; Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and multiple group med

401(k) retirement savings plan

group life insurance

AD&D insurance

FSA/HSA options

Commuter benefits

STD and LTD insurance

additional supplemental insurance (sp

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform serving operational teams and business stakeholders. You will collaborate with Data Scientists, Analysts, and DevOps to transform data into actionable insights at scale.

The role emphasizes deploying new pipelines, defining observability, and integrating third-party data to support decision making across healthcare services. A strong background in SQL, Python, and cloud-based data tools is required.

Qualifications

• Bachelor's degree in a quantitative field or related technical discipline.
• At least 4 years of experience in software engineering or data engineering.
• Experience with one or more major cloud vendors (AWS, GCP, Azure).
• Experience with infrastructure as code tools and methodologies.
• Proficient in SQL-based and Python data manipulation with large datasets.

Responsibilities

• Deploy new data pipelines and data integrations.
• Design and build data observability platforms and metrics.
• Collaborate with Data Scientists and Analysts to transform data into insights.
• Work with DevOps to codify infrastructure as code and enable scaling.

Skills

Data engineering

SQL

Python

AWS

GCP

Azure

ETL pipelines

Education

Bachelor's Degree in a quantitative field

Tools

Terraform

Snowflake

Airflow

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform serving operational teams and business stakeholders. You will collaborate with Data Scientists, Analysts, and DevOps to transform data into actionable insights at scale.

The role emphasizes deploying new pipelines, defining observability, and integrating third-party data to support decision making across healthcare services. A strong background in SQL, Python, and cloud-based data tools is required.