Remote Senior Data Engineer - Data Platform & ETL

Fuze Health Inc.; Iowa City (IA); Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental, vision, and medical plans

401(k) retirement plan

Group life insurance

AD&D insurance

HSA and FSA

Commuter benefits

Paid holidays and vacation

Parental leave and caregiver leave

Job summary

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data platforms that empower operational and business decisions. You will collaborate with data scientists, analysts, and DevOps to codify infrastructure as code and ensure scalable data services.

You will deploy new data pipelines, build observability metrics, and design ELT/ETL workflows while enhancing data quality and accessibility across teams. Strong SQL and Python with large data sets are essential.

Qualifications

• Bachelor's degree in statistics, economics, engineering, mathematics or data science.
• At least 4 years of software engineering experience.
• Experience with AWS, GCP or Azure cloud vendors.
• Experience with infrastructure as code tools and methodologies.
• SQL-based and Python data manipulation with large datasets.

Responsibilities

• Build and maintain data pipelines for timely data delivery.
• Design data observability platforms and metrics.
• Build metadata-driven pipeline solutions.
• Monitor and optimize data transformations.
• Build third-party data integrations.

Skills

SQL

Python

Cloud platforms

Infrastructure as code

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Terraform

Job description

Fuze Health Inc. is seeking a Senior Data Engineer to build and maintain data platforms that empower operational and business decisions. You will collaborate with data scientists, analysts, and DevOps to codify infrastructure as code and ensure scalable data services.

You will deploy new data pipelines, build observability metrics, and design ELT/ETL workflows while enhancing data quality and accessibility across teams. Strong SQL and Python with large data sets are essential.