Senior Data Engineer — Remote Pipelines & Insights

Fuze Health Inc.; Georgia; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Dental

Vision

Medical plans

401(k)

Life insurance

AD&D

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 is seeking a Senior Data Engineer to build and maintain data platforms that empower operations and decision making across teams. You will collaborate with Data Scientists, Data Analysts, and DevOps to deploy pipelines and codify infrastructure as code.

Key responsibilities include deploying new data pipelines, building data observability, and enabling ELT/ETL workflows with Python and cloud tech. Remote-friendly role in a growth-focused digital health company.

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 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.
• Cannot sponsor employment visas at this time.

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 programming

SQL data manipulation

Data pipeline design

Data observability

ELT/ETL workflows

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 that empower operations and decision making across teams. You will collaborate with Data Scientists, Data Analysts, and DevOps to deploy pipelines and codify infrastructure as code.

Key responsibilities include deploying new data pipelines, building data observability, and enabling ELT/ETL workflows with Python and cloud tech. Remote-friendly role in a growth-focused digital health company.