Senior Data Engineer - Remote Data Pipelines

Fuze Health Inc.; East Windsor Hill (CT); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental insurance

Vision insurance

401(k) plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Paid holidays

Paid parental leave

Flexible vacation

Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a platform delivering timely data for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and ensure scalable infrastructure.

The role emphasizes designing ELT/ETL workflows, Python-based data manipulation, and working across AWS, GCP, and Azure. Remote-friendly with strong compensation and benefits.

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 and build data observability platforms and metrics.
• Build metadata driven pipeline solutions and data integrations.
• Collaborate with Data Scientists/Analysts and DevOps to scale the platform.

Skills

Software Engineering

Cloud Experience

SQL & Python

Infrastructure as Code

Education

Bachelor's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a platform delivering timely data for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and ensure scalable infrastructure.

The role emphasizes designing ELT/ETL workflows, Python-based data manipulation, and working across AWS, GCP, and Azure. Remote-friendly with strong compensation and benefits.