Senior Data Engineer: Cloud Pipelines & Data Observability

Fuze Health Inc.

Springfield (IL)

On-site

USD 140,000 - 175,000

Full time

5 days ago
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Benefits offered by this job

Dental and vision plans
401(k) plan
Life insurance
Health Savings Account (HSA)
Commuter benefits
Paid holidays and vacation
Parental leave

Job summary

Fuze Health Inc. 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 insights and codify infrastructure as code for scalable systems. The role emphasizes deploying data pipelines, building observability metrics, metadata-driven pipelines, and integrating third-party data.

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

Data engineering
Python
SQL
Cloud platforms (AWS/GCP/Azure)
Infrastructure as code

Education

Bachelor's degree in a quantitative field

Tools

Snowflake
Terraform

Job description

Fuze Health Inc. 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 insights and codify infrastructure as code for scalable systems. The role emphasizes deploying data pipelines, building observability metrics, metadata-driven pipelines, and integrating third-party data.

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