Senior Data Engineer - Remote: Pipelines & ETL

Fuze Health Inc.

Vermont

Remote

USD 120,000 - 170,000

Full time

6 days ago
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Benefits offered by this job

401(k) retirement savings plan
Dental
Vision
Group life insurance
Paid holidays

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to design and maintain the data pipelines powering our operational analytics and decision making. You will work with Data Scientists, Analysts, and DevOps to transform data into meaningful business insights and ensure scalable, codified infrastructure.

Responsibilities include deploying pipelines, building observability platforms, and integrating third party data while advancing ELT/ETL workflows and data quality across cloud environments.

Qualifications

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

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

Python
SQL
Data pipelines
ELT/ETL

Education

Bachelor's degree (quantitative)
Master's degree (quantitative)

Tools

AWS
GCP
Azure
Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to design and maintain the data pipelines powering our operational analytics and decision making. You will work with Data Scientists, Analysts, and DevOps to transform data into meaningful business insights and ensure scalable, codified infrastructure.

Responsibilities include deploying pipelines, building observability platforms, and integrating third party data while advancing ELT/ETL workflows and data quality across cloud environments.

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