Senior Data Engineer (ETL) - Remote

Fuze Health Inc.; South Carolina; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

STD/LTD insurance

Paid holidays

Paid parental leave

Flexible vacation time

Sick time

Job summary

Fuze Health is hiring a Senior Data Engineer to build and maintain data platforms that deliver timely data for operational teams and stakeholders. You will collaborate with Data Scientists and Analysts to translate data into actionable insights, while partnering with DevOps to codify infrastructure as code.

The role requires 4+ years of software engineering experience, cloud experience (AWS/GCP/Azure), and expertise in Python and SQL-based data work.

Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science
• Master's degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science
• Experience with one or more of the major cloud vendors: AWS, GCP, Azure
• Experience with AWS and Terraform
• Programming in Python and SQL-based data manipulation with large datasets
• Experience designing ELT/ETL workflows

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

ELT/ETL workflows

Data manipulation

Cloud experience

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 hiring a Senior Data Engineer to build and maintain data platforms that deliver timely data for operational teams and stakeholders. You will collaborate with Data Scientists and Analysts to translate data into actionable insights, while partnering with DevOps to codify infrastructure as code.

The role requires 4+ years of software engineering experience, cloud experience (AWS/GCP/Azure), and expertise in Python and SQL-based data work.