Senior Data Engineer — Remote, Scale Data Pipelines

Fuze Health Inc.; Central City (CO); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement plan

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Disability insurance (STD/LTD)

Paid holidays

Paid parental leave

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for operations and business decisions. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code.

The role involves deploying data pipelines, building observability metrics, and integrating third-party data. A strong background in Python, SQL, and cloud tech is required for success.

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

Python

SQL

Data engineering

Cloud platforms

Infrastructure as code

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

Terraform

Snowflake

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for operations and business decisions. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code.

The role involves deploying data pipelines, building observability metrics, and integrating third-party data. A strong background in Python, SQL, and cloud tech is required for success.