Data Engineer - Cloud Pipelines & Observability

Alto; Northern (KY); Hybrid; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision

401(k)

Life insurance

STD & LTD

FSA/HSA

Commuter benefits

Paid holidays

Parental leave

Wellness stipend

Job summary

Fuze Health is seeking a data engineer to accelerate analytics initiatives. You will deploy data pipelines, design observability platforms, and implement metadata-driven solutions across cloud data ecosystems.

Required are 4+ years in software engineering, proficiency with SQL and Python, and experience with AWS/GCP/Azure, Terraform, Snowflake, and ELT workflows. Extensive data handling skills are essential for success.

Qualifications

• Bachelor’s degree in a quantitative field required.
• At least 4 years of software engineering experience.
• Experience with AWS, GCP or Azure.
• Experience with infrastructure as code.
• SQL 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

Data pipelines

SQL

Python

AWS

GCP

Azure

Infrastructure as code

ETL/ELT

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

Snowflake

Terraform

Job description

Fuze Health is seeking a data engineer to accelerate analytics initiatives. You will deploy data pipelines, design observability platforms, and implement metadata-driven solutions across cloud data ecosystems.

Required are 4+ years in software engineering, proficiency with SQL and Python, and experience with AWS/GCP/Azure, Terraform, Snowflake, and ELT workflows. Extensive data handling skills are essential for success.