Senior Data Engineer: Cloud Pipelines for Health Tech

Fuze Health Inc.; Tennessee; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Dental

Vision

Group health plans

401k plan

Life insurance

AD&D

FSA/HSA

Commuter benefits

STD/LTD insurance

Supplemental insurance

Flexible vacation

Paid sick time

Paid holidays

Floating holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain a data platform delivering timely data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts and DevOps to transform data into insights and codify infrastructure as code for scalable systems.

Required: 4+ years in software engineering, experience with AWS/GCP/Azure, Python, SQL, and ELT/ETL design. Equity is not offered; Visa sponsorship is unavailable at this time.

Qualifications

• Bachelor’s degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science.
• Master’s degree in a quantitative field complementing the role.
• Experience with SQL-based and Python data manipulation on large datasets.
• Experience with one or more cloud vendors: AWS, GCP, Azure.
• Experience designing ELT/ETL workflows and Terraform.
• Visa sponsorship not available at this time.

Responsibilities

• Deploy new data pipelines to support business operations.
• 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

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

ELT/ETL workflows

Job description

Fuze Health Inc. seeks a Senior Data Engineer to build and maintain a data platform delivering timely data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts and DevOps to transform data into insights and codify infrastructure as code for scalable systems.

Required: 4+ years in software engineering, experience with AWS/GCP/Azure, Python, SQL, and ELT/ETL design. Equity is not offered; Visa sponsorship is unavailable at this time.