Senior Data Engineer: Pipelines, ETL & Observability

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

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Short-term and long-term disability

Parental leave

Flexible vacation

Paid sick time

10 paid holidays

Floating holidays

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform serving operational and business insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to scale infrastructure and deploy new pipelines.

Applicants should have 4+ years in software engineering, cloud experience (AWS/GCP/Azure), and strong SQL/Python data skills. This is an on-site role in the United States with comprehensive 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
• 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

Data pipelines

Education

Bachelor's Degree

Master's Degree

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform serving operational and business insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to scale infrastructure and deploy new pipelines.

Applicants should have 4+ years in software engineering, cloud experience (AWS/GCP/Azure), and strong SQL/Python data skills. This is an on-site role in the United States with comprehensive compensation and benefits.