Senior Data Engineer - Remote Healthcare Data Pipelines

Fuze Health Inc.

Virginia

Remote

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Dental
Vision
401(k) retirement plan
Group life insurance
AD&D insurance
FSA and HSA
Commuter benefits
STD & LTD insurance
Supplemental insurance plans

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines that empower operational teams and business stakeholders.

You will collaborate with Data Scientists and Analysts to transform data into actionable insights, while coordinating with DevOps to codify infrastructure as code for scalable platforms. The role emphasizes building data observability, ELT/ETL workflows, and metadata-driven solutions, with a focus on Python and AWS/GCP/Azure cloud

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
  • 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
  • At this time, Fuze Health is unable to sponsor or take over sponsorship of an employment Visa.

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

Software engineering
Cloud platforms
SQL & Python
ELT/ETL design
Terraform
Data pipelines
Data observability
Metadata pipelines

Education

Bachelor's degree
Master's degree

Tools

AWS
GCP
Azure
Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines that empower operational teams and business stakeholders.

You will collaborate with Data Scientists and Analysts to transform data into actionable insights, while coordinating with DevOps to codify infrastructure as code for scalable platforms. The role emphasizes building data observability, ELT/ETL workflows, and metadata-driven solutions, with a focus on Python and AWS/GCP/Azure cloud

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