Senior Data Engineer - Remote Health Pipelines

Fuze Health Inc.; Minnesota; Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental & Vision

401(k) retirement plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Short-term disability (STD)

Long-term disability (LTD)

Paid holidays

Paid parental leave

Flexible vacation

Life Insurance

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely insights to operations and business stakeholders across healthcare services.

You will collaborate with data scientists, analysts and DevOps to codify infrastructure and scale pipelines. The role requires 4+ years in software engineering, experience with AWS/GCP/Azure, SQL and Python data manipulation, and expertise in ETL/ELT, IaC, and Snowflake administration.

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
• Experience with infrastructure as code tools and methodologies
• Experienced in SQL-based and python data manipulation with large datasets

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

Software engineering experience

SQL & Python data manipulation

Infrastructure as code

ELT/ETL design

Python programming

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely insights to operations and business stakeholders across healthcare services.

You will collaborate with data scientists, analysts and DevOps to codify infrastructure and scale pipelines. The role requires 4+ years in software engineering, experience with AWS/GCP/Azure, SQL and Python data manipulation, and expertise in ETL/ELT, IaC, and Snowflake administration.