Senior Data Engineer: Cloud Pipelines & Observability

Fuze Health Inc.; Bristol (RI); Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and multiple group med

401(k) retirement savings plan

group life insurance

AD&D insurance

FSA and HSA

commuter benefits

short-term and long-term disability

parity paid time off and holidays

paid parental leave

Job summary

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

You will work closely with Data Scientists and Data Analysts to transform data into meaningful business insights and collaborate with DevOps to codify infrastructure as code for scalable solutions. The role involves deploying new data pipelines, designing data observability platforms, and building metadata-driven pipeline solutions.

Qualifications

• Bachelor's degree in a quantitative field.
• At least 4 years of work experience in software engineering.
• Experience with one or more cloud vendors: AWS, GCP, Azure.
• Experience with infrastructure as code tools and methodologies.
• Experience with 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

SQL data manipulation

Python

Large datasets

Education

Bachelor's Degree in a quantitative field

Master'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 the data platform that serves operational teams and business stakeholders.

You will work closely with Data Scientists and Data Analysts to transform data into meaningful business insights and collaborate with DevOps to codify infrastructure as code for scalable solutions. The role involves deploying new data pipelines, designing data observability platforms, and building metadata-driven pipeline solutions.