Senior Data Engineer - Healthcare Data Platform | Remote

Fuze Health Inc.; Oklahoma; À distance; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Dental

Vision

401(k) plan

Group life insurance

AD&D insurance

FSA/HSA

Résumé du poste

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data pipelines and the platform 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 requires strong SQL and Python skills, experience with cloud platforms (AWS/GCP/Azure), and ELT/ETL design.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• At least 4 years of work experience in software engineering.
• Experience with one or more cloud vendors: AWS, GCP, Azure.
• Experience with SQL-based data manipulation and Python on 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.
• Sponsorship: Fuze Health cannot sponsor employment visas at this time.

Responsabilités

• 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.

Connaissances

Python

SQL data manipulation

ELT/ETL design

Data pipelines

Formation

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Outils

AWS

GCP

Azure

Terraform

Python

Description du poste

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data pipelines and the platform 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 requires strong SQL and Python skills, experience with cloud platforms (AWS/GCP/Azure), and ELT/ETL design.