Remote Senior Data Engineer - Scalable Data Pipelines

Fuze Health Inc.

Ohio

On-site

USD 140,000 - 175,000

Full time

6 days ago
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Benefits offered by this job

Dental, vision, and medical plans
401(k) retirement plan
Paid Holidays

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain the platform that delivers timely data to operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems.

The role emphasizes deploying data pipelines, building observability, and integrating third party data sources, with a strong focus on SQL and Python data manipulation across

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

Data pipelines
SQL
Python
Cloud providers

Education

Bachelor's Degree in quantitative field
Master's Degree (preferred)

Tools

AWS
GCP
Azure
Terraform
CI/CD

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain the platform that delivers timely data to operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable insights and codify infrastructure as code for scalable systems.

The role emphasizes deploying data pipelines, building observability, and integrating third party data sources, with a strong focus on SQL and Python data manipulation across

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