Senior Data Engineer, ETL — Remote Data Pipelines Lead

Fuze Health Inc.; Lake Michigan Beach (MI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Dental

Vision

401(k)

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD

Supplemental insurance

Flexible vacation

Paid sick time

Holidays

Floating holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves operations and business stakeholders.

You will work with Data Scientists and Analysts to transform data into actionable insights and collaborate with DevOps to codify infrastructure for scalable pipelines.

The role requires at least 4 years of software engineering, strong SQL and Python experience, and knowledge of AWS/GCP/Azure with Terraform flexibility.

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

Data manipulation

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the data platform that serves operations and business stakeholders.

You will work with Data Scientists and Analysts to transform data into actionable insights and collaborate with DevOps to codify infrastructure for scalable pipelines.

The role requires at least 4 years of software engineering, strong SQL and Python experience, and knowledge of AWS/GCP/Azure with Terraform flexibility.