Senior Data Engineer - Remote ETL & Pipelines

Fuze Health Inc.; Wisconsin; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Job summary

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

You will collaborate with Data Scientists and Data Analysts to transform data into meaningful insights and work with DevOps to codify infrastructure as code for scalable deployment. This role requires 4+ years in software/data engineering, proficiency in Python and SQL, and hands-on experience with cloud platforms such as AWS, GCP, or Azure.

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

ELT/ETL

Data pipelines

4+ years experience

Cloud platforms AWS/GCP/Azure

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

AWS

Terraform

Job description

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

You will collaborate with Data Scientists and Data Analysts to transform data into meaningful insights and work with DevOps to codify infrastructure as code for scalable deployment. This role requires 4+ years in software/data engineering, proficiency in Python and SQL, and hands-on experience with cloud platforms such as AWS, GCP, or Azure.