Senior Data Engineer - Remote Pipelines & Observability
Fuze Health Inc.
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Benefits offered by this job
Job summary
Fuze Health in United States is seeking a Senior Data Engineer to build and maintain the platform that supports operational teams and business stakeholders with timely data. You will collaborate with Data Scientists and Analysts to translate data into actionable insights and work with DevOps to codify infrastructure as code to scale the platform.
You will deploy data pipelines, design observability, and integrate third-party data, leveraging AWS, Terraform, and ELT/ETL workflows to deliver
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 in United States is seeking a Senior Data Engineer to build and maintain the platform that supports operational teams and business stakeholders with timely data. You will collaborate with Data Scientists and Analysts to translate data into actionable insights and work with DevOps to codify infrastructure as code to scale the platform.
You will deploy data pipelines, design observability, and integrate third-party data, leveraging AWS, Terraform, and ELT/ETL workflows to deliver
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