Senior Data Engineer, Healthcare Data Platform

Fuze Health Inc.; Montgomery (AL); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Parental leave

Job summary

Fuze Health is 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 delivery.

Responsibilities include deploying data pipelines, building observability platforms, and integrating third-party data sources to support decision making across the organization.

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
• 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
• Experience administering/tuning Snowflake

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

SQL

Python

Cloud platforms

Infrastructure as code

Data pipelines

Data transformation

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Terraform

Job description

Fuze Health is 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 delivery.

Responsibilities include deploying data pipelines, building observability platforms, and integrating third-party data sources to support decision making across the organization.