Senior Data Engineer - Health Tech Data Pipelines

Fuze Health Inc.; Florida; Teletrabalho; USD 140 000 - 175 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Dental, vision, and medical plans

401(k) retirement plan

life insurance

AD&D insurance

FSA/HSA

commuter benefits

STD and LTD insurance

additional insurance plans

flexible vacation

paid sick time

10 paid holidays

2 floating holidays

8 weeks parental leave

Resumo da oferta

Fuze Health is seeking a Senior Data Engineer to build and maintain a platform delivering timely, accurate data for operational teams and decision-makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to infrastructure-as-code and enable scalable data services.

Responsibilities include deploying new data pipelines, building data observability metrics, and integrating third-party data sources.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Data engineering

Cloud platforms

Formação académica

Bachelors degree in a quantitative field

Ferramentas

AWS

GCP

Azure

Terraform

Snowflake

Descrição da oferta de emprego

Fuze Health is seeking a Senior Data Engineer to build and maintain a platform delivering timely, accurate data for operational teams and decision-makers. You will collaborate with Data Scientists, Data Analysts, and DevOps to infrastructure-as-code and enable scalable data services.

Responsibilities include deploying new data pipelines, building data observability metrics, and integrating third-party data sources.