Senior Data Engineer - Scalable Health Data Platform
Fuze Health Inc.
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Job summary
Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely insights for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and enable scalable data processing.
The role requires 4+ years in software engineering, expertise with SQL and Python, and experience across AWS/GCP/Azure, plus Terraform and ELT/ETL design.
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
Education
Tools
Job description
Fuze Health is seeking a Senior Data Engineer to build and maintain a scalable data platform that delivers timely insights for operational teams and business stakeholders. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure as code and enable scalable data processing.
The role requires 4+ years in software engineering, expertise with SQL and Python, and experience across AWS/GCP/Azure, plus Terraform and ELT/ETL design.
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