Senior Data Engineer — Cloud ETL & Pipelines (Remote)

Fuze Health Inc.; California; On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental and medical plans

401(k) retirement plan

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD insurance

Paid holidays

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain scalable data platforms that serve timely, accurate data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and enable scale across teams.

Key duties include deploying new pipelines, designing observability platforms, and integrating third-party data sources.

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 processing

Education

Bachelor's Degree in a quantitative field

Master's Degree in a quantitative field

Tools

AWS

GCP

Azure

Infrastructure as Code

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain scalable data platforms that serve timely, accurate data for operations and decision makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and enable scale across teams.

Key duties include deploying new pipelines, designing observability platforms, and integrating third-party data sources.