Senior Data Engineer — ETL & Data Pipelines (Remote)

Fuze Health Inc.; Crystal Bay (NV); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental

Vision

401(k) retirement plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD insurance

Additional supplemental plans

Flexible vacation time

Paid sick time

10 paid holidays

Floating holidays

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain scalable data pipelines and observability platforms. You will collaborate with Data Scientists and Analysts to translate data into actionable business insights and work with DevOps to codify infrastructure as code for a scalable data platform.

The role requires 4+ years in software/data engineering, proficiency in Python and SQL, and experience with AWS, GCP, or Azure and Terraform. Visa sponsorship is not available at this time.

Qualifications

• Bachelor's degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• Minimum 4 years of work experience in software engineering.
• Experience with one or more of the major cloud vendors: AWS, GCP, Azure.
• Experienced in SQL-based and Python data manipulation with large datasets.
• Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• Experience with AWS and Terraform.
• Experience in designing ELT/ETL workflows.
• Programming experience in Python.

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 programming

ELT/ETL design

Data pipelines

Cloud data engineering

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain scalable data pipelines and observability platforms. You will collaborate with Data Scientists and Analysts to translate data into actionable business insights and work with DevOps to codify infrastructure as code for a scalable data platform.

The role requires 4+ years in software/data engineering, proficiency in Python and SQL, and experience with AWS, GCP, or Azure and Terraform. Visa sponsorship is not available at this time.