Senior Data Engineer - Remote Healthcare Data Platform

Fuze Health Inc.; New Jersey; On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Dental & vision

401(k) retirement plan

Life insurance

AD&D insurance

FSA / HSA

Job summary

Fuze Health, based in New Jersey, seeks a Senior Data Engineer to build and maintain robust data platforms for timely operational insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and scale data solutions across the organization.

The role emphasizes developing new data pipelines, observability metrics, and third‑party data integrations, with a focus on SQL and Python data manipulation on large datasets.

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
• Experience with infrastructure as code tools and methodologies
• Experienced in SQL-based and python data manipulation with large datasets

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

SQL-based data manipulation

Python programming

Data pipeline design

Data observability

Problem solving

Education

Bachelor's Degree in a quantitative field such as Statistics, Economics, Engineering, Mathematics, or Data Science

Master's Degree in a quantitative field (Statistics, Economics, Engineering, Mathematics, or Data Science)

Tools

AWS

GCP

Azure

Terraform

Snowflake

Job description

Fuze Health, based in New Jersey, seeks a Senior Data Engineer to build and maintain robust data platforms for timely operational insights. You will collaborate with Data Scientists, Data Analysts, and DevOps to codify infrastructure and scale data solutions across the organization.

The role emphasizes developing new data pipelines, observability metrics, and third‑party data integrations, with a focus on SQL and Python data manipulation on large datasets.