Senior Data Engineer - Remote Data Pipelines & Platform

Fuze Health Inc.; Madison (WI); Remote; USD 110,000 - 190,000; Full time

Benefits offered by this job

Dental plan

Vision plan

401(k) plan

Life insurance

AD&D insurance

FSA/HSA

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data to operational teams and business stakeholders.

You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems. Responsibilities include deploying data pipelines, designing observability metrics, and enabling third-party data integrations.

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.
• Experienced in SQL-based and Python data manipulation with large datasets.
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• Experience with AWS and Terraform; ELT/ETL workflows; Programming in Python.

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

SQL data manipulation

Python programming

Data pipelines

ETL/ELT workflows

Education

Bachelor's degree

Master's degree

Tools

AWS

Terraform

GCP

Azure

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data to operational teams and business stakeholders.

You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems. Responsibilities include deploying data pipelines, designing observability metrics, and enabling third-party data integrations.