Senior Data Engineer - Pipelines & Observability

Fuze Health Inc.; Philadelphia (Philadelphia County); Remote; USD 140,000 - 175,000; Full time

Benefits offered by this job

Medical plans

Dental/vision plans

401(k) retirement

Job summary

Fuze Health, Inc. seeks a Senior Data Engineer to build and maintain the platform that delivers timely, accurate data to operations and business stakeholders.

You will design data pipelines, build observability platforms, and integrate third‑party data while collaborating with Data Scientists, Data Analysts, and DevOps to scale the infrastructure.

Candidates should have 4+ years in software engineering, proficiency with SQL and Python, and experience with major cloud providers.

Qualifications

• Bachelor's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science).
• 4+ years of work experience in software engineering.
• Experience with one or more cloud vendors: AWS, GCP, Azure.
• Experience with infrastructure as code tools and methodologies.
• 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.
• Experience administering/tuning Snowflake.

Responsibilities

• Build data pipelines.
• Build data observability platforms and metrics.
• Build metadata driven pipeline solutions.
• Monitor and optimize data transformations.
• Build third party data integrations.

Skills

SQL

Python

Data pipelines

Data analysis

Education

Bachelor's degree in a quantitative field

Master's degree in a quantitative field

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health, Inc. seeks a Senior Data Engineer to build and maintain the platform that delivers timely, accurate data to operations and business stakeholders.

You will design data pipelines, build observability platforms, and integrate third‑party data while collaborating with Data Scientists, Data Analysts, and DevOps to scale the infrastructure.

Candidates should have 4+ years in software engineering, proficiency with SQL and Python, and experience with major cloud providers.