Senior Data Engineer - Remote Healthcare Data Pipelines

Fuze Health Inc.; Michigan; Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401(k) plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD insurance

Parental leave

Flexible vacation

Sick time

Holidays

Floating holidays

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain data platforms delivering timely insights for operational teams and stakeholders. You will collaborate with Data Scientists, Analysts, and DevOps to codify infrastructure as code and ensure scalable data services.

The role emphasizes Python, SQL, ETL/ELT processes, and cloud platforms (AWS, GCP, Azure) with a focus on data quality and observability.

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
• Experience in designing ELT/ETL workflows
• Programming experience in Python
• At this time, Fuze Health is unable to sponsor or take over sponsorship of an employment Visa.

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

ETL/ELT

Data pipelines

Cloud data engineering

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain data platforms delivering timely insights for operational teams and stakeholders. You will collaborate with Data Scientists, Analysts, and DevOps to codify infrastructure as code and ensure scalable data services.

The role emphasizes Python, SQL, ETL/ELT processes, and cloud platforms (AWS, GCP, Azure) with a focus on data quality and observability.