Senior Data Engineer: Scalable Pipelines & Observability

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

Benefits offered by this job

Dental

Vision

401(k) retirement plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

STD/LTD

Parental leave

Lifestyle Spending Account

Job summary

Fuze Health believes in putting patients first and enabling digital connections to care providers and essential health resources. The Senior Data Engineer will build and maintain a scalable platform delivering timely data to operational teams and business stakeholders, collaborating with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code.

The role focuses on deploying data pipelines, building observability metrics, data integrations, and transforming data into actionable

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.
• Experience with infrastructure as code tools and methodologies.
• Experienced in SQL-based and python data manipulation with large datasets.

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

Python

SQL

Data pipelines

Cloud platforms

Infrastructure as code

Data transformation

Education

Bachelor's degree in a quantitative field

Master's degree (preferred)

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health believes in putting patients first and enabling digital connections to care providers and essential health resources. The Senior Data Engineer will build and maintain a scalable platform delivering timely data to operational teams and business stakeholders, collaborating with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code.

The role focuses on deploying data pipelines, building observability metrics, data integrations, and transforming data into actionable