Senior Data Engineer, Healthcare Data Platform

Fuze Health Inc.

Providence (RI)

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
401(k) retirement savings plan
Life insurance
AD&D insurance
FSA/HSA
Commuter benefits
STD & LTD disability
Parental leave

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that serves operational teams and business stakeholders with timely, accurate data.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and ensure scalable data solutions. Responsibilities include deploying data pipelines, building observability metrics, and enabling third-party data integrations to accelerate data-driven decisions across healthcare

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
Data manipulation
Cloud architectures

Education

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

Tools

AWS
GCP
Azure
Terraform
Snowflake

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain a data platform that serves operational teams and business stakeholders with timely, accurate data.

You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and ensure scalable data solutions. Responsibilities include deploying data pipelines, building observability metrics, and enabling third-party data integrations to accelerate data-driven decisions across healthcare

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