Senior Data Engineer - Remote: Pipelines & Observability

Fuze Health Inc.; Clayton (NC); Presencial; USD 140 000 - 175 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Dental & Vision

Medical plans

401(k)

Life Insurance

AD&D

FSA/HSA

Commuter benefits

STD/LTD

Supplemental insurance

Vacation time

Sick time

Holidays

Parental leave

Lifestyle Spending Account

Resumo da oferta

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for 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 data pipelines, observability, and ELT/ETL workflows, with a focus on Python and SQL, and cloud environments (AWS/GCP/Azure).

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

SQL

Python

Cloud platforms (AWS/GCP/Azure)

Infrastructure as Code

ETL/ELT

Data pipelines

Formação académica

Bachelor's degree in quantitative field

Master's degree in quantitative field

Ferramentas

Terraform

Snowflake

Descrição da oferta de emprego

Fuze Health is seeking a Senior Data Engineer to build and maintain a data platform that delivers timely, accurate data for 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 data pipelines, observability, and ELT/ETL workflows, with a focus on Python and SQL, and cloud environments (AWS/GCP/Azure).