Senior Data Engineer, Cloud Pipelines & Observability

Fuze Health Inc.; Carson City (NV); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental and vision

401(k) plan

Life insurance

Disability insurance

FSA/HSA

Commuter benefits

Paid time off

Parental leave

Job summary

Fuze Health Inc. in the United States is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely data for operations and business decision makers.

You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into meaningful insights and codify infrastructure as code for scalable deployment. The role emphasizes building data pipelines, observability, and metadata-driven solutions, with a focus on SQL-based and Python data manipulation

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
• At least 4 years of software engineering experience.
• Experience with cloud vendors: AWS, GCP, Azure; infrastructure as code; SQL-based and Python data manipulation with large datasets.

Responsibilities

• Build and maintain data pipelines and platform for operational and business stakeholders.
• Collaborate with Data Scientists, Data Analysts and DevOps to scale the platform.
• Design data observability platforms and metrics; build metadata-driven pipeline solutions.
• Monitor and optimize data transformations and data integrations.

Skills

SQL

Python

Data Engineering

Cloud AWS

GCP

Azure

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

Terraform

Snowflake

Job description

Fuze Health Inc. in the United States is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely data for operations and business decision makers.

You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into meaningful insights and codify infrastructure as code for scalable deployment. The role emphasizes building data pipelines, observability, and metadata-driven solutions, with a focus on SQL-based and Python data manipulation