Remote Senior Data Engineer: Data Pipelines & Observability

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

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement plan

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Short-term & long-term disability

Paid holidays & paid time off

Parental leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data platform infrastructure that serves operational teams and stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and ensure scalable infrastructure.

The role emphasizes deploying data pipelines, building observability, and integrating third-party data sources, with a focus on SQL and Python for large datasets in a cloud environment.

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

Software engineering

Data manipulation (SQL)

Python

Data pipelines

Data observability

Education

Bachelor's degree in quantitative field

Master's degree (preferred)

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data platform infrastructure that serves operational teams and stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and ensure scalable infrastructure.

The role emphasizes deploying data pipelines, building observability, and integrating third-party data sources, with a focus on SQL and Python for large datasets in a cloud environment.