Senior Data Engineer — Remote, Scalable Data Pipelines

Fuze Health Inc.; Wisconsin; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Dental

Vision

Health plans

401(k)

Life insurance

AD&D insurance

FSA/HSA

Commuter benefits

STD/LTD

Vacation time

Sick time

Holidays

Floating holidays

Parental leave

Caregiver leave

Lifestyle Spending Account

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain data platforms that serve operational teams and business stakeholders. You will collaborate with Data Scientists and Analysts to transform data into actionable insights and work with DevOps to codify infrastructure as code for scalable systems.

Responsibilities include deploying new pipelines, building observability metrics, and designing ELT/ETL workflows using Python and cloud services (AWS, GCP, Azure).

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

Python

SQL

AWS

GCP

Azure

Terraform

ELT/ETL

Data pipelines

Data observability

Metadata management

Education

Bachelor's degree (quantitative)

Master's degree (quantitative)

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain data platforms that serve operational teams and business stakeholders. You will collaborate with Data Scientists and Analysts to transform data into actionable insights and work with DevOps to codify infrastructure as code for scalable systems.

Responsibilities include deploying new pipelines, building observability metrics, and designing ELT/ETL workflows using Python and cloud services (AWS, GCP, Azure).