Senior Data Engineer, Health Data Platform & ETL

Fuze Health Inc.; Annapolis (MD); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental, vision, and multiple group med

401(k) retirement savings plan

Group life insurance

AD&D insurance

FSA and HSA

Commuter benefits

Short-term disability insurance

Long-term disability insurance

Parental leave

Job summary

Fuze Health is seeking a Senior Data Engineer to build and maintain the data platform that fuels timely insights for operations and business stakeholders. You will work closely with Data Scientists, Data Analysts, and DevOps to codify infrastructure and ensure scalable data delivery.

Responsibilities include deploying new data pipelines, designing data observability metrics, enabling metadata-driven pipelines, monitoring transformations, and integrating third‑party data sources.

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

Data pipelines

ELT/ETL design

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Job description

Fuze Health is seeking a Senior Data Engineer to build and maintain the data platform that fuels timely insights for operations and business stakeholders. You will work closely with Data Scientists, Data Analysts, and DevOps to codify infrastructure and ensure scalable data delivery.

Responsibilities include deploying new data pipelines, designing data observability metrics, enabling metadata-driven pipelines, monitoring transformations, and integrating third‑party data sources.