Senior Data Engineer - ETL/ELT for Healthcare (Remote)

Fuze Health Inc.

Nevada

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Dental
Vision
401k
Life insurance
AD&D insurance
FSA/HSA
Commuter benefits
STD/LTD
Supplemental insurance
Paid vacation
Paid sick time
Holidays
Floating holidays
Parental leave
Caregiver leave
Lifestyle Spending Account

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the platform that delivers timely data for operational teams and decision makers.

You will work closely with Data Scientists and Data Analysts to transform data into meaningful business insights and collaborate with DevOps to codify infrastructure as code for scalable solutions. You will partner with cross-functional teams to design robust data pipelines, ensure data quality, and enable data-driven decision making across

Qualifications

  • Bachelor's degree in Statistics, Economics, Engineering, Mathematics, or Data Science.
  • Minimum 4 years of work experience in software engineering.
  • Experience with AWS, GCP, or Azure and Terraform.
  • Proficiency in Python and SQL for large datasets; ELT/ETL design.
  • Master's degree preferred

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
ETL design
Data pipelines
Cloud computing

Education

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

Tools

AWS
GCP
Azure
Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain the platform that delivers timely data for operational teams and decision makers.

You will work closely with Data Scientists and Data Analysts to transform data into meaningful business insights and collaborate with DevOps to codify infrastructure as code for scalable solutions. You will partner with cross-functional teams to design robust data pipelines, ensure data quality, and enable data-driven decision making across

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