Senior Data Engineer - Cloud Pipelines & Observability

Fuze Health Inc.; New Mexico; Presencial; USD 140.000 - 175.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Dental, vision, and medical plans

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA/HSA

Commuter benefits

Short-term/Long-term disability

Paid vacation and holidays

Descripción de la vacante

Fuze Health in the United States is seeking a Senior Data Engineer to design and maintain a data platform that delivers timely data for operations and decision makers. You’ll collaborate with data scientists, analysts, and DevOps to transform data into insights and to codify infrastructure as code for scalable solutions.

Key qualifications include a strong background in SQL and Python, experience with cloud platforms (AWS/GCP/Azure) and ETL/ELT workflows, and a bachelor’s degree in a

Formación

• 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

• Build and maintain data pipelines and a data platform used by operations and decision-makers.
• Collaborate with Data Scientists and Data Analysts to transform data into meaningful business insights.
• Codify infrastructure as code and ensure the platform can scale.

Conocimientos

SQL

Python

Cloud platforms

Infrastructure as Code

Educación

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Herramientas

Snowflake

Terraform

ETL workflows

Descripción del empleo

Fuze Health in the United States is seeking a Senior Data Engineer to design and maintain a data platform that delivers timely data for operations and decision makers. You’ll collaborate with data scientists, analysts, and DevOps to transform data into insights and to codify infrastructure as code for scalable solutions.

Key qualifications include a strong background in SQL and Python, experience with cloud platforms (AWS/GCP/Azure) and ETL/ELT workflows, and a bachelor’s degree in a