Senior Data Engineer - ETL & Data Platform (Remote)

Fuze Health Inc.; Clifton (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Dental

Vision

401(k) plan

Life insurance

Disability insurance

FSA/HSA

Commuter benefits

Parental leave

Job summary

Fuze Health is seeking a Senior Data Engineer to design and maintain a data platform that serves operational teams and stakeholders. You will partner with Data Scientists and DevOps to transform data into actionable insights and codify infrastructure for scalable deployments.

The role emphasizes building data pipelines, observability, and metadata-driven solutions using Python and cloud ecosystems. Collaboration across teams enables improved care delivery.

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

Software engineering

SQL data manipulation

Python programming

Data pipelines

ETL/ELT design

Education

Bachelor's Degree in quantitative field

Master's Degree in quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer to design and maintain a data platform that serves operational teams and stakeholders. You will partner with Data Scientists and DevOps to transform data into actionable insights and codify infrastructure for scalable deployments.

The role emphasizes building data pipelines, observability, and metadata-driven solutions using Python and cloud ecosystems. Collaboration across teams enables improved care delivery.