Senior Data Engineer - Remote Data Pipelines Observability

Fuze Health Inc.; Athens (GA); Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401k plans

Group life

AD&D insurance

FSA/HSA

Commuter benefits

STD

LTD

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain the data platform that powers timely, accurate data for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and scale infrastructure.

The role requires 4+ years in software engineering, proficiency in Python and SQL, and experience with AWS, GCP or Azure and Terraform. Equity considerations are not indicated.

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.
• Fuze Health cannot sponsor employment visas.

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 design

Data pipelines

Data observability

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 the data platform that powers timely, accurate data for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and scale infrastructure.

The role requires 4+ years in software engineering, proficiency in Python and SQL, and experience with AWS, GCP or Azure and Terraform. Equity considerations are not indicated.