Senior Data Engineer - Remote, Scalable Data Pipelines

Fuze Health Inc.

Arkansas City (KS)

On-site

USD 140,000 - 175,000

Full time

5 days ago
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Benefits offered by this job

Dental plan
Vision plan
Group medical plans
401(k) plan
Life insurance
AD&D insurance
FSA/HSA
Commuter benefits
Disability insurance
Vacation time
Paid holidays
Parental leave
Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that serves operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable business insights and ensure the platform can scale to meet growing needs.

The role drives data pipelines, observability, and ETL/ELT workflows, while enabling metadata-driven solutions and third-party data integrations.

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
Infrastructure as Code

Education

Bachelor's Degree in a quantitative field
Master's Degree in a quantitative field

Tools

AWS
GCP
Azure

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that serves operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to transform data into actionable business insights and ensure the platform can scale to meet growing needs.

The role drives data pipelines, observability, and ETL/ELT workflows, while enabling metadata-driven solutions and third-party data integrations.

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