Remote Senior Data Engineer – Data Platform & ETL

Fuze Health Inc.; Idaho Falls (ID); Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and multiple group医疗

401(k) retirement savings plan

Group life insurance

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to design and maintain the data platform that serves operations and business decision-makers. You will collaborate with data scientists, analysts, and DevOps to transform data into actionable insights and codify infrastructure for scalability.

The role emphasizes building pipelines, observability, and third-party data integrations, with a focus on cloud-based data tooling and large datasets in a fast-growing healthcare tech environment.

Qualifications

• Bachelor’s degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, Data Science).
• Experience with SQL-based and Python data manipulation on large datasets.
• Experience with one or more cloud vendors (AWS, GCP, Azure) and infrastructure as code.

Responsibilities

• Build and maintain data pipelines and data platform for operations and stakeholders.
• Collaborate with Data Scientists and Analysts to transform data into insights.
• Codify infrastructure as code and ensure scalable platform operations.
• Design data observability platforms and metrics; monitor data transformations.
• Build third-party data integrations for analytics and decision support.

Skills

SQL

Python

Cloud platforms

Education

Bachelor’s degree in a quantitative field

Master’s degree preferred

Tools

Terraform

Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to design and maintain the data platform that serves operations and business decision-makers. You will collaborate with data scientists, analysts, and DevOps to transform data into actionable insights and codify infrastructure for scalability.

The role emphasizes building pipelines, observability, and third-party data integrations, with a focus on cloud-based data tooling and large datasets in a fast-growing healthcare tech environment.